Professor Keith Worden
School of Mechanical, Aerospace and Civil Engineering
Professor of Mechanical Engineering
+44 114 222 7758
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
- Profile
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Professor Worden began academic life as a theoretical physicist, with a degree from York University and a PhD in Mechanical Engineering from Heriot-Watt University eventually followed.
A period of research at Manchester University led to an appointment at the University of Sheffield in 1995, where he has happily remained since.
- Research interests
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Keith's research is concerned with applications of advanced signal processing and machine learning methods to structural dynamics. The primary application is in the aerospace industry, although there has also been interaction with ground transport and offshore industries.
One of the research themes concerns non-linear systems. The research conducted here is concerned with assessing the importance of non-linear modelling within a given context and formulating appropriate methods of analysis. The analysis of non-linear systems can range from the fairly pragmatic to the extremes of mathematical complexity. The emphasis within the research group here is on the pragmatic and every attempt is made to maintain contact with engineering necessity.
Another major activity within the research group concerns structural health monitoring for aerospace systems and structures. The research is concerned with developing automated systems for inspection and diagnosis, with a view to reducing the cost-of-ownership of these high integrity structures.The methods used are largely adapted from pattern recognition and machine learning; often the algorithms make use of biological concepts e.g. neural networks, genetic algorithms and ant-colony metaphors. The experimental approaches developed range from global inspection using vibration analysis to local monitoring using ultrasound.
- Publications
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Books
- Structural Dynamics in Engineering Design. Wiley.
- Preface. Royal Society of Chemistry.
- Key Engineering Materials: Preface.
Journal articles
- On the use of the generating series to compute impulse response functions for systems with polynomial nonlinearities. Mechanical Systems and Signal Processing, 240, 113268-113268.
- Machine-learning perspectives on Volterra system identification. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2305).
- Physics-informed transfer learning for SHM via feature selection. Mechanical Systems and Signal Processing, 237. View this article in WRRO
- On the influence of attributes for assessing similarity and sharing knowledge in heterogeneous populations of structures. Mechanical Systems and Signal Processing, 229, 112554-112554.
- On calculating structural similarity metrics in population-based structural health monitoring. Data-Centric Engineering, 6. View this article in WRRO
- Active learning for regression in engineering populations: a risk-informed approach. Data-Centric Engineering, 6. View this article in WRRO
- The past, present and future of structural health monitoring: an overview of three ages. Strain, 61(1). View this article in WRRO
- Combining transfer learning and numerical modelling to deal with the lack of training data in data-based SHM. Journal of Sound and Vibration, 595, 118710-118710.
- Foundations of population-based SHM, Part V: Network, framework and database. Mechanical Systems and Signal Processing, 223, 111602-111602.
- Canonical-correlation-based fast feature selection for structural health monitoring. Mechanical Systems and Signal Processing, 223, 111895-111895.
- On the use of the inverse finite element method to enhance knowledge sharing in population-based structural health monitoring. Computers & Structures, 307, 107635-107635.
- Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges. Mechanical Systems and Signal Processing, 224. View this article in WRRO
- Using the inverse finite‐element method to harmonise classical modal analysis with fibre‐optic strain data for robust population‐based structural health monitoring. Strain, 61(1). View this article in WRRO
- Monitoring-supported value generation for managing structures and infrastructure systems. Data-Centric Engineering, 5.
- Similarity assessment of structures for population-based structural health monitoring via graph kernels. Structural Health Monitoring. View this article in WRRO
- Novelty detection across a small population of real structures: A negative selection approach. Journal of Physics: Conference Series, 2647(19). View this article in WRRO
- An application of domain adaptation for population-based structural health monitoring. Journal of Physics: Conference Series, 2647(18). View this article in WRRO
- On population-based structural health monitoring for bridges: comparing similarity metrics and dynamic responses between sets of bridges. Mechanical Systems and Signal Processing, 216. View this article in WRRO
- Multitask feature selection within structural datasets. Data-Centric Engineering, 5. View this article in WRRO
- A domain adaptation approach to damage classification with an application to bridge monitoring. Mechanical Systems and Signal Processing, 209, 111135-111135.
- A probabilistic approach for acoustic emission based monitoring techniques: with application to structural health monitoring. Mechanical Systems and Signal Processing, 208. View this article in WRRO
- On a meta-learning population-based approach to damage prognosis. Mechanical Systems and Signal Processing, 209. View this article in WRRO
- On the hierarchical Bayesian modelling of frequency response functions. Mechanical Systems and Signal Processing, 208. View this article in WRRO
- Phase/frequency analysis of diffuse Lamb-wave field for fatigue-crack detection in an aluminium multi-riveted strap joint aircraft panel. Measurement, 224, 113884-113884.
- On the application of domain adaptation for knowledge transfer and damage detection across bridge spans: an experimental case study. Procedia Structural Integrity, 62, 887-894.
- Measuring data similarity in population-based structural health monitoring using distance metrics. Structural Health Monitoring, 23(4), 2609-2635. View this article in WRRO
- On the use of domain adaptation techniques for bridge damage detection in a changing environment. ce/papers, 6(5), 975-980. View this article in WRRO
- Towards a population-informed approach to the definition of data-driven models for structural dynamics. Mechanical Systems and Signal Processing, 200. View this article in WRRO
- Identification of piecewise-linear mechanical oscillators via Bayesian model selection and parameter estimation. Mechanical Systems and Signal Processing, 196. View this article in WRRO
- Fatigue-crack detection in a multi-riveted strap-joint aluminium aircraft panel using amplitude characteristics of diffuse Lamb wave field. Materials, 16(4).
- On statistic alignment for domain adaptation in structural health monitoring. Structural Health Monitoring, 22(3), 1581-1600. View this article in WRRO
- A Bayesian method for material identification of composite plates via dispersion curves. Sensors, 23(1). View this article in WRRO
- On the application of population-based structural health monitoring in aerospace engineering. Frontiers in Robotics and AI, 9. View this article in WRRO
- On improved fail-safe sensor distributions for a structural health monitoring system. Data-Centric Engineering, 3. View this article in WRRO
- On topological data analysis for structural dynamics: an introduction to persistent homology. ASME Open Journal of Engineering, 1.
- A mapping method for anomaly detection in a localized population of structures. Data-Centric Engineering, 3. View this article in WRRO
- Modelling variability in vibration-based PBSHM via a generalised population form. Journal of Sound and Vibration, 538. View this article in WRRO
- On robust risk-based active-learning algorithms for enhanced decision support. Mechanical Systems and Signal Processing, 181. View this article in WRRO
- On the dynamic properties of statistically-independent nonlinear normal modes. Mechanical Systems and Signal Processing, 181. View this article in WRRO
- A sampling-based approach for information-theoretic inspection management. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262).
- Informative bayesian tools for damage localisation by decomposition of Lamb wave signals. Journal of Sound and Vibration, 535. View this article in WRRO
- A Bayesian approach for shaft centre localisation in journal bearings. Mechanical Systems and Signal Processing, 174. View this article in WRRO
- Domain-adapted Gaussian mixture models for population-based structural health monitoring. Journal of Civil Structural Health Monitoring, 12, 1343-1353. View this article in WRRO
- A transfer learning-based digital twin for detecting localised torsional friction in deviated wells. Mechanical Systems and Signal Processing, 173. View this article in WRRO
- On the application of kernelised Bayesian transfer learning to population-based structural health monitoring. Mechanical Systems and Signal Processing, 167(Part B). View this article in WRRO
- On population-based structural health monitoring for bridges. Mechanical Systems and Signal Processing, 173.
- On the application of generative adversarial networks for nonlinear modal analysis. Mechanical Systems and Signal Processing, 166. View this article in WRRO
- A population-based SHM methodology for heterogeneous structures : transferring damage localisation knowledge between different aircraft wings. Mechanical Systems and Signal Processing, 172. View this article in WRRO
- Impact of blade structural and aerodynamic uncertainties on wind turbine loads. Wind Energy, 25(6), 1060-1076. View this article in WRRO
- Error motion trajectory-driven diagnostics of kinematic and non-kinematic machine tool faults. Mechanical Systems and Signal Processing, 164. View this article in WRRO
- A Bayesian methodology for localising acoustic emission sources in complex structures. Mechanical Systems and Signal Processing, 163.
- Bayesian modelling of multivalued power curves from an operational wind farm. Mechanical Systems and Signal Processing, 169. View this article in WRRO
- On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. Mechanical Systems and Signal Processing, 161. View this article in WRRO
- Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning. Journal of Sound and Vibration, 510. View this article in WRRO
- On sensor optimisation for structural health monitoring robust to environmental variations. Wind Energy Science, 6(5), 1107-1116. View this article in WRRO
- On generative models as the basis for digital twins. Data-Centric Engineering, 2.
- Foundations of population-based SHM, Part IV : the geometry of spaces of structures and their feature spaces. Mechanical Systems and Signal Processing, 157. View this article in WRRO
- Machining centre performance monitoring with calibrated artefact probing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 235(10), 1569-1587. View this article in WRRO
- Comparing approaches for multi-axis kinematic positioning in machine tools. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 235(10), 1698-1711.
- Structured machine learning tools for modelling characteristics of guided waves. Mechanical Systems and Signal Processing, 156. View this article in WRRO
- On the transfer of damage detectors between structures: an experimental case study. Journal of Sound and Vibration, 501. View this article in WRRO
- Damage detection in operational wind turbine blades using a new approach based on machine learning. Renewable Energy, 168, 1249-1264. View this article in WRRO
- A probabilistic risk-based decision framework for structural health monitoring. Mechanical Systems and Signal Processing, 150. View this article in WRRO
- Probabilistic inference for structural health monitoring: new modes of learning from data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1). View this article in WRRO
- Foundations of population-based SHM, part III : heterogeneous populations – mapping and transfer. Mechanical Systems and Signal Processing, 149. View this article in WRRO
- Foundations of population-based SHM, Part I : homogeneous populations and forms. Mechanical Systems and Signal Processing, 148. View this article in WRRO
- Foundations of population-based SHM, part II : heterogeneous populations – graphs, networks, and communities. Mechanical Systems and Signal Processing, 148. View this article in WRRO
- Equation discovery for nonlinear dynamical systems : a Bayesian viewpoint. Mechanical Systems and Signal Processing, 154. View this article in WRRO
- New results for the ADF statistic in nonstationary signal analysis with a view towards structural health monitoring. Mechanical Systems and Signal Processing, 146, 106979-106979.
- A novel approach to machining process fault detection using unsupervised learning. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 235(10), 1533-1542.
- Autonomous ultrasonic inspection using bayesian optimisation and robust outlier analysis. Mechanical Systems and Signal Processing, 145.
- Towards the probabilistic analysis of small bowel capsule endoscopy features to predict severity of duodenal histology in patients with villous atrophy. Journal of Medical Systems, 44(11). View this article in WRRO
- Machine learning at the interface of structural health monitoring and non-destructive evaluation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2182). View this article in WRRO
- On Treed Gaussian Processes and piecewise-linear NARX modelling. Mechanical Systems and Signal Processing, 144.
- A brief introduction to recent developments in population-based structural health monitoring. Frontiers in Built Environment, 6. View this article in WRRO
- Bayesian joint input-state estimation for nonlinear systems. Vibration, 3(3), 281-303. View this article in WRRO
- Emerging trends in optimal structural health monitoring system design: From sensor placement to system evaluation. Journal of Sensor and Actuator Networks, 9(3). View this article in WRRO
- Digital twins: State-of-the-art future directions for modelling and simulation in engineering dynamics applications. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering, 6(3). View this article in WRRO
- On digital twins, mirrors and virtualisations: Frameworks for model verification and validation. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering, 6(3). View this article in WRRO
- Considering discrepancy when calibrating a mechanistic electrophysiology model. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2173).
- Towards semi-supervised and probabilistic classification in structural health monitoring. Mechanical Systems and Signal Processing, 140. View this article in WRRO
- On the application of Gaussian process latent force models for joint input-state-parameter estimation : With a view to Bayesian operational identification. Mechanical Systems and Signal Processing, 140. View this article in WRRO
- On the application of domain adaptation in structural health monitoring. Mechanical Systems and Signal Processing, 138. View this article in WRRO
- Probabilistic modelling of wind turbine power curves with application of heteroscedastic gaussian process regression. Renewable Energy, 148, 1124-1136. View this article in WRRO
- Probabilistic active learning : an online framework for structural health monitoring. Mechanical Systems and Signal Processing, 134. View this article in WRRO
- Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data. Journal of Sound and Vibration, 453, 126-150. View this article in WRRO
- On the performance of a cointegration-based approach for novelty detection in realistic fatigue crack growth scenarios. Mechanical Systems and Signal Processing, 123, 84-101. View this article in WRRO
- Model selection and parameter estimation of dynamical systems using a novel variant of approximate Bayesian computation. Mechanical Systems and Signal Processing, 122, 364-386. View this article in WRRO
- A cointegration approach for heteroscedastic data based on a time series decomposition: An application to structural health monitoring. Mechanical Systems and Signal Processing, 120, 16-31. View this article in WRRO
- Use of the cointegration strategies to remove environmental effects from data acquired on historical buildings. Engineering Structures, 183, 1014-1026.
- A probabilistic compressive sensing framework with applications to ultrasound signal processing. Mechanical Systems and Signal Processing, 117, 383-402. View this article in WRRO
- Predicting geometric tolerance thresholds in a five-axis machining centre. Structural Health Monitoring, Photogrammetry & DIC, Volume 6, 93-100. View this article in WRRO
- Nonlinear modal analysis via non-parametric machine learning tools. Strain, 55(1). View this article in WRRO
- Active learning for semi-supervised structural health monitoring. Journal of Sound and Vibration, 437, 373-388. View this article in WRRO
- On evolutionary system identification with applications to nonlinear benchmarks. Mechanical Systems and Signal Processing, 112, 194-232. View this article in WRRO
- Damage detection in a laboratory wind turbine blade using techniques of ultrasonic NDT and SHM. Strain, 54(6). View this article in WRRO
- Acoustic emission source characterisation using evolutionary optimisation. Strain, 54(4). View this article in WRRO
- On the confidence bounds of Gaussian process NARX models and their higher-order frequency response functions. Mechanical Systems and Signal Processing, 104, 188-223. View this article in WRRO
- A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring. Mechanical Systems and Signal Processing, 103, 381-397. View this article in WRRO
- Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework. Frontiers in Bioengineering and Biotechnology. View this article in WRRO
- Model selection and parameter estimation in structural dynamics using approximate Bayesian computation. Mechanical Systems and Signal Processing, 99, 306-325. View this article in WRRO
- On switching response surface models, with applications to the structural health monitoring of bridges. Mechanical Systems and Signal Processing, 98, 139-156.
- A comparison of linear approaches to filter out environmental effects in structural health monitoring. Mechanical Systems and Signal Processing, 105, 1-15. View this article in WRRO
- Performance monitoring of a wind turbine using extreme function theory. Renewable Energy, 113, 1490-1502. View this article in WRRO
- On multi-site damage identification using single-site training data. Journal of Sound and Vibration, 409, 43-64. View this article in WRRO
- A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview. Progress in Aerospace Sciences. View this article in WRRO
- Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution. Mechanical Systems and Signal Processing, 85, 977-992. View this article in WRRO
- A machine learning approach to nonlinear modal analysis. Mechanical Systems and Signal Processing, 84(Part B), 34-53. View this article in WRRO
- Prediction of landing gear loads using machine learning techniques. Structural Health Monitoring, 15(5), 568-582. View this article in WRRO
- Some Recent Developments in SHM Based on Nonstationary Time Series Analysis. Proceedings of the IEEE, 104(8), 1589-1603. View this article in WRRO
- Sensitivity analysis of an Advanced Gas-cooled Reactor control rod model. Nuclear Engineering and Design, 305, 514-523. View this article in WRRO
- Bayesian Sensitivity Analysis of Flight Parameters in a Hard-Landing Analysis Process. Journal of Aircraft, 53(5), 1317-1331. View this article in WRRO
- On Crack Detection in Tuned and Mistuned Repeating Structures Using the Modal Assurance Criterion. Strain, 52(3), 175-185.
- Fault detection in rolling element bearings using wavelet-based variance analysis and novelty detection. Journal of Vibration and Control, 22(2), 396-411.
- Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems. Mechanical Systems and Signal Processing, 66-67, 178-200. View this article in WRRO
- Friction estimation in wind turbine blade bearings. Structural Control and Health Monitoring, 23(1), 103-122.
- Novelty detection and dimension reduction via guided ultrasonic waves: Damage monitoring of scarf repairs in composite laminates. Journal of Intelligent Material Systems and Structures, 27(4), 549-566.
- A time-frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions. Mechanical Systems and Signal Processing, 64-65, 188-216. View this article in WRRO
- Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty. Philosophical Transactions Of The Royal Society A - Mathematical Physical And Engineering Sciences, 373(2051). View this article in WRRO
- Continuous debonding monitoring of a patch repaired helicopter stabilizer: Damage assessment and analysis. Composite Structures, 127, 231-244.
- A Non-linear Manifold Strategy for SHM Approaches. Strain. View this article in WRRO
- On robust regression analysis as a means of exploring environmental and operational conditions for SHM data. Journal of Sound and Vibration, 347, 279-296. View this article in WRRO
- A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm. IEEE Transactions on Industrial Electronics, 62(10), 6636-6644. View this article in WRRO
- Numerical simulations of elastic wave propagation using graphical processing units—Comparative study of high-performance computing capabilities. Computer Methods in Applied Mechanics and Engineering, 290, 98-126.
- Damage Monitoring of External Patch Repairs with Guided Ultrasonic Waves. Strain, 51(4), 288-300.
- Bayesian system identification of dynamical systems using highly informative training data. Mechanical Systems and Signal Processing, 56-57, 109-122. View this article in WRRO
- Aspects of structural health and condition monitoring of offshore wind turbines. Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 373(2035).
- A Bee Swarm Algorithm for Optimising Sensor Distributions for Impact Detection on a Composite Panel. Strain, 51(2), 147-155.
- Optimum Sensor Placement for Impact Location Using Trilateration. Strain, 51(2), 89-100.
- Bayesian sensitivity analysis of flight parameters that affect main landing gear yield locations. The Aeronautical Journal, 118(1210), 1481-1497.
- A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability. Engineering Structures, 80, 1-10.
- A New Transmissibility Analysis Method for Detection and Location of Damage via Nonlinear Features in MDOF Structural Systems. IEEE/ASME Transactions on Mechatronics, 20(4), 1933-1947.
- Robust methods of inclusive outlier analysis for structural health monitoring. Journal of Sound and Vibration, 333(20), 5181-5195.
- A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network. Journal of Sound and Vibration, 333(19), 4499-4525.
- An SHM view of a CFD model of Lillgrund wind farm. Applied Mechanics and Materials, 564, 164-169.
- Envelope analysis using the Teager-Kaiser Energy operator for condition monitoring of a wind turbine bearing. Applied Mechanics and Materials, 564, 170-175.
- Robust evaluation of time series classification algorithms for structural health monitoring. Proceedings of SPIE the International Society for Optical Engineering, 9064.
- The use of pseudo-faults for damage location in SHM: An experimental investigation on a Piper Tomahawk aircraft wing. Journal of Sound and Vibration, 333(3), 971-990.
- Machine learning applications for a wind turbine blade under continuous fatigue loading. Key Engineering Materials, 588, 166-174.
- Uncertainty analysis in structural dynamics. Key Engineering Materials, 588, 318-332.
- Damage detection in RAPTOR telescope systems using time-frequency analysis methods. Key Engineering Materials, 588, 43-53.
- Identification of Time-Varying Nonlinear Systems Using Differential Evolution Algorithm. Conference Proceedings of the Society for Experimental Mechanics Series, 45(7), 575-583.
- A multiresolution approach to cointegration for enhanced SHM of structures under varying conditions - An exploratory study. Mechanical Systems and Signal Processing.
- On damage diagnosis for a wind turbine blade using pattern recognition. Journal of Sound and Vibration.
- On the identification and modelling of friction in a randomly excited energy harvester. Journal of Sound and Vibration, 332(19), 4696-4708.
- Comparative study of robust novelty detection techniques. Key Engineering Materials, 569-570, 1109-1115.
- Cointegration and the empirical mode decomposition for the analysis of diagnostic data. Key Engineering Materials, 569-570, 884-891.
- Advanced tools for damage detection in wind turbines. Key Engineering Materials, 569-570, 547-554.
- Modelling friction in a nonlinear dynamic system via Bayesian inference. Conference Proceedings of the Society for Experimental Mechanics Series, 6, 543-553.
- Structural health monitoring and damage prognosis in composite repaired structures through the excitation of guided ultrasonic waves. Proceedings of SPIE the International Society for Optical Engineering, 8695.
- Long-term monitoring and data analysis of the Tamar Bridge. Mechanical Systems and Signal Processing, 35(1-2), 16-34.
- Bayesian sensitivity analysis of bifurcating nonlinear models. Mechanical Systems and Signal Processing.
- Condition monitoring of a wind turbine gearbox using the empirical mode decomposition method and outlier analysis. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, 2, 1316-1323.
- Structural Health Monitoring: A Machine Learning Perspective. Structural Health Monitoring: A Machine Learning Perspective.
- Features for damage detection with insensitivity to environmental and operational variations. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 468(2148), 4098-4122.
- Bayesian sensitivity analysis of a nonlinear finite element model. Mechanical Systems and Signal Processing.
- Parameter estimation and model selection for a class of hysteretic systems using Bayesian inference. Mechanical Systems and Signal Processing.
- On the orthogonalised reverse path method for nonlinear system identification. Journal of Sound and Vibration, 331(20), 4488-4503.
- The benefits of Duffing-type nonlinearities and electrical optimisation of a mono-stable energy harvester under white Gaussian excitations. Journal of Sound and Vibration, 331(20), 4504-4517.
- Erratum to " Impact damage characterisation of composite laminates using a statistical approach" [Compos. Sci. Technol. 72 (2012) 1108-1120]. Composites Science and Technology, 72(12), 1477.
- Impact damage characterisation of composite laminates using a statistical approach. Composites Science and Technology.
- Lamb wave propagation modelling and simulation using parallel processing architecture and graphical cards. Smart Materials and Structures, 21(7).
- Crack characterisation by detection and classification of nonlinear behaviour using the Hilbert transform. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 226(C11), 2610-2626.
- An optimisation scheme based on the local interaction simulation approach and Lamb waves for elastic property estimation in multi-layered composites (vol 19, pg 1027, 2012). SHOCK AND VIBRATION, 19(6), 1477-1477.
- An optimisation scheme based on the local interaction simulation approach and Lamb waves for elastic property estimation in multi-layered composites. Shock and Vibration, 19(5), 1027-1040.
- Spatial scanning for anomaly detection in acoustic emission testing of an aerospace structure. Mechanical Systems and Signal Processing, 25(7), 2462-2474.
- Experimental validation of a new statistical process control feature for damage detection. Mechanical Systems and Signal Processing, 25(7), 2513-2525.
- Experimental validation of a new statistical process control feature for damage detection. Mechanical Systems and Signal Processing.
- Spatial scanning for anomaly detection in acoustic emission testing of an aerospace structure. Mechanical Systems and Signal Processing.
- A cellular automaton model for predicting intergranular corrosion. Corrosion Science.
- Computational model of an infant brain subjected to periodic motion simplified modelling and bayesian sensitivity analysis. P I MECH ENG H, 225(H11), 1036-1049.
- Extended Analysis of a Damage Prognosis Approach Based on Interval Arithmetic. Strain, 47(6), 544-554.
- Extended Analysis of a Damage Prognosis Approach Based on Interval Arithmetic. Strain.
- Some experimental observations on the detection of composite damage using lamb waves. Strain, 47(SUPPL. 1), e254-e268.
- A decomposition method for the analysis of viscoelastic structural dynamics with time-dependent poisson's ratio. Strain, 47(SUPPL. 1), e1-e14.
- Principal component analysis of acoustic emission signals from landing gear components: An aid to fatigue fracture detection. Strain, 47(SUPPL. 1), e588-e594.
- Bayesian sensitivity analysis of a model of the aortic valve. Journal of Biomechanics, 44(8), 1499-1506.
- Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data. P ROY SOC A-MATH PHY, 467(2133), 2712-2732.
- Bayesian sensitivity analysis of a model of the aortic valve.. J Biomech, 44(8), 1499-1506.
- Approximation of the Duffing oscillator frequency response function using the FPK equation. Journal of Sound and Vibration, 330(4), 743-756.
- Probabilistic uncertainty analysis of an FRF of a structure using a Gaussian process emulator. Mechanical Systems and Signal Processing, 25(8), 2962-2975.
- Albumin level and patient age predict outcomes in patients referred for gastrostomy insertion: internal and external validation of a gastrostomy score and comparison with artificial neural networks.. Gastrointest Endosc, 74(5), 1033-9.e1-3.
- Uncertainty Analysis of a Dynamic Model of a Novel Remotely Piloted Airship. J AIRCRAFT, 48(3), 1028-1035.
- On Impact Damage Detection and Quantification for CFRP Laminates using Structural Response Data Only. Mechanical Systems and Signal Processing, 25(8), 3135-3152.
- Transmissibility of non-linear output frequency response functions with application in detection and location of damage in MDOF structural systems. International Journal of Non Linear Mechanics, 46(6), 841-853.
- Feasibility study of structural damage detection using NARMAX modelling and Nonlinear Output Frequency Response Function based analysis. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 25(3), 1045-1061.
- Natural computing for mechanical systems research: A tutorial overview. Mechanical Systems and Signal Processing, 25(1), 4-111.
- Machine learning algorithms for damage detection under operational and environmental variability. Structural Health Monitoring, 10(6), 559-572.
- Influence of the Autoregressive Model Order on Damage Detection. COMPUT-AIDED CIV INF, 26(3), 225-238.
- Approximation of the Duffing oscillator frequency response function using the FPK equation. Journal of Sound and Vibration.
- Conceptual design of a hard landing indication system using a flight parameter sensor simulation model. 27th Congress of the International Council of the Aeronautical Sciences 2010 Icas 2010, 5, 3515-3526.
- Simulation of ultrasonic lamb wave generation, propagation and detection for a reconfigurable air coupled scanner. Ultrasonics.
- Preface. Journal of Sound and Vibration, 329(12), 2305-2305.
- The use of pseudo-faults for novelty detection in SHM. J SOUND VIB, 329(12), 2349-2366.
- Novelty detection in a changing environment: A negative selection approach. MECH SYST SIGNAL PR, 24(4), 1114-1128.
- Vibration-based structural health monitoring using large sensor networks. SMART STRUCTURES AND SYSTEMS, 6(3), 335-347.
- Analysis of MDOF nonlinear systems using associated linear equations. MECH SYST SIGNAL PR, 24(8), 2824-2843.
- Locating acoustic emission sources in complex structures using Gaussian processes. MECH SYST SIGNAL PR, 24(1), 211-223.
- Damage prognosis for delamination of a composite plate. Conference Proceedings of the Society for Experimental Mechanics Series.
- An evidence-based approach to damage location on an aircraft structure. MECH SYST SIGNAL PR, 23(6), 1792-1804.
- Analysis and control of nonlinear systems with DC terms. NONLINEAR DYNAM, 58(4), 753-775.
- Higher-order spectra for identification of nonlinear modal coupling. MECH SYST SIGNAL PR, 23(4), 1037-1061.
- Detecting and identifying artificial acoustic emission signals in an industrial fatigue environment. MEAS SCI TECHNOL, 20(4).
- Strategies for using cellular automata to locate constrained layer damping on vibrating structures. J SOUND VIB, 319(1-2), 119-139.
- Acoustic emission for monitoring aircraft structures. P I MECH ENG G-J AER, 223(G5), 525-532.
- Nonlinear system identification of automotive dampers: A time and frequency-domain analysis. MECH SYST SIGNAL PR, 23(1), 104-126.
- Genetic optimisation of a neural network damage diagnostic. AERONAUTICAL JOURNAL, 112(1131), 267-274.
- A negative selection approach to detect damage in aeronautical structures with changing operating conditions. Icas Secretariat 26th Congress of International Council of the Aeronautical Sciences 2008 Icas 2008, 2, 2773-2779.
- The effects of uncertainties within acoustic emission modelling. Conference Proceedings of the Society for Experimental Mechanics Series.
- Lamb waves for non-destructive evaluation of composite wing section. Conference Proceedings of the Society for Experimental Mechanics Series.
- Metamodelling of auxetic cellular solids with differential evolution optimisation. PHYS STATUS SOLIDI B, 245(11), 2433-2439.
- Damage detection in an aluminium plate using outlier analysis. FATIGUE FRACT ENG M, 31(8), 629-643.
- Uncertainty analysis of a neural network used for fatigue lifetime prediction. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 22(6), 1395-1411.
- Impact Damage Detection in Aircraft Composites Using Knowledge-based Reasoning. STRUCT HEALTH MONIT, 7(3), 215-230.
- Damage localisation in a stiffened composite panel. STRAIN, 44(4), 298-307.
- Evolution of constrained layer damping using a cellular automaton algorithm. P I MECH ENG C-J MEC, 222(4), 585-597.
- Genetic optimisation of a neural damage locator. J SOUND VIB, 309(3-5), 529-544.
- A review of nonlinear dynamics applications to structural health monitoring. STRUCT CONTROL HLTH, 15(4), 540-567.
- Multivariate statistics process control for dimensionality reduction in structural assessment. MECH SYST SIGNAL PR, 22(1), 155-171.
- Kernel based modelling of friction dynamics. MECH SYST SIGNAL PR, 22(1), 66-80.
- Prognosis under uncertainty - An idealised computational case study. SHOCK AND VIBRATION, 15(3-4), 231-243.
- Nonlinear system identification in structural dynamics: A short (and biased) history. Conference Proceedings of the Society for Experimental Mechanics Series.
- Nonlinear system identification in structural dynamics: Current status and future directions. Conference Proceedings of the Society for Experimental Mechanics Series.
- Transformation of a sensor or actuator system into a unitary gain element. MECH SYST SIGNAL PR, 21(8), 3088-3107.
- Damage location in an isotropic plate using a vector of novelty indices. MECH SYST SIGNAL PR, 21(4), 1885-1906.
- The fundamental axioms of structural health monitoring. P R SOC A, 463(2082), 1639-1664.
- Fatigue life prediction of sandwich composite materials under flexural tests using a Bayesian trained artificial neural network. INT J FATIGUE, 29(4), 738-747.
- Improving excitations for active sensing in structural health monitoring via evolutionary algorithms. J VIB ACOUST, 129(6), 784-802.
- Genetic algorithm with an improved fitness function for (N)ARX modelling. MECH SYST SIGNAL PR, 21(2), 994-1007.
- Impact detection in an aircraft composite panel - A neural-network approach. J SOUND VIB, 299(3), 672-682.
- Damage detection using stress waves and multivariate statistics: An experimental case study of an aircraft component. STRAIN, 43(1), 47-53.
- Generalised NARX shunting neural network modelling of friction. MECH SYST SIGNAL PR, 21(1), 553-572.
- Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models. MECH SYST SIGNAL PR, 21(1), 514-534.
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- Evaluation of neural network robust reliability using information-gap theory. IEEE T NEURAL NETWOR, 17(6), 1349-1361.
- Identification of response surface models using genetic programming. MECH SYST SIGNAL PR, 20(8), 1819-1831.
- A novel information-gap technique to assess reliability of neural network-based damage detection. J SOUND VIB, 293(1-2), 96-111.
- An application of interval-valued neural networks to a regression problem. P R SOC A, 462(2074), 3097-3114.
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- A novel design for panel radiators. APPLIED THERMAL ENGINEERING, 24(8-9), 1291-1300.
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- An overview of intelligent fault detection in systems and structures. STRUCT HEALTH MONIT, 3(1), 85-98.
- System identification using associated linear equations. MECH SYST SIGNAL PR, 18(3), 431-455.
- Structural fault diagnosis and isolation using neural networks based on response-only data. COMPUT STRUCT, 81(22-23), 2165-2172.
- Statistical damage classification using sequential probability ratio tests. Structural Health Monitoring, 2(1), 57-74.
- Automatic classification of acoustic emission patterns. STRAIN, 39(1), 31-41.
- Genetic identification of crack-tip parameters using thermoelastic isopachics. MEAS SCI TECHNOL, 14(2), 176-183.
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- Discussion and conclusions forworking group 2 benchmarks. MECH SYST SIGNAL PR, 17(1), 171-175.
- Costaction F3 on structural dynamics: Benchmarks forworking group 2 - Structural health monitoring. MECH SYST SIGNAL PR, 17(1), 73-75.
- Experimental validation of a structural health monitoring methodology. Part II. Novelty detection on a Gnat aircraft. J SOUND VIB, 259(2), 345-363.
- Experimental validation of a structural health monitoring methodology. Part III. Damage location on an aircraft wing. J SOUND VIB, 259(2), 365-385.
- Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure. J SOUND VIB, 259(2), 323-343.
- Statistical damage classification under changing environmental and operational conditions. J INTEL MAT SYST STR, 13(9), 561-574.
- Editorial. Strain, 38(2), 45-45.
- Novelty detection in a changing environment: Regression and inter polation approaches. Journal of Sound and Vibration, 258(4), 741-761.
- Rayleigh and Lamb waves - Basic principles. Strain, 37(4), 167-172.
- Identification of hysteretic systems using the differential evolution algorithm. J SOUND VIB, 248(2), 289-314.
- <title>Damage assessment in smart composite structures: the DAMASCOS program</title>. SPIE Proceedings, 4327, 223-233.
- Visualisation and Dimension Reduction of Acoustic Emission Data for Damage Detection. Journal of Intelligent Materials Systems and Structures, 12(8), 529-536.
- Interval methods in non-destructive testing of material structures. Reliable Computing, 7(4), 341-352.
- Special Issue - Third International Conference on Damage Assessment in Structures (DAMAS 99). J INTEL MAT SYST STR, 12(8), 527-527.
- Optimal sensor placement for fault detection. ENG STRUCT, 23(8), 885-901.
- Theoretical and experimental identification of a non-linear beam. J SOUND VIB, 244(4), 597-613.
- Damage identification using support vector machines. SMART MATERIALS & STRUCTURES, 10(3), 540-547.
- Vibration-based damage assessment in steel frames using neural networks. SMART MATERIALS & STRUCTURES, 10(3), 553-559.
- Damage assessment in smart composite structures: the DAMASCOS programme. Air & Space Europe, 3(3-4), 132-138.
- Structural health monitoring using statistical pattern recognition techniques. J DYN SYST-T ASME, 123(4), 706-711.
- Nonlinearity in experimental modal analysis. PHILOS T ROY SOC A, 359(1778), 113-130.
- Active Control in Mechanical Engineering. Structural Safety, 23(3), 275-277.
- Visualisation and dimension reduction of acoustic emission data for damage detection. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 12(8), 529-536.
- Detection of defects in composite plates using Lamb waves and novelty detection. INT J SYST SCI, 31(11), 1397-1409.
- Intelligent fault detection. INT J SYST SCI, 31(11), 1331-1332.
- Impact location and quantification on a composite panel using neural networks and a genetic algorithm. Strain, 36(2), 61-68.
- Damage identification using multivariate statistics: Kernel discriminant analysis. INVERSE PROBLEMS IN ENGINEERING, 8(1), 25-46.
- An extension of force appropriation to the identification of non-linear multi-degree of freedom systems. J SOUND VIB, 237(1), 23-43.
- Fail-safe sensor distributions for impact detection in composite materials. SMART MATER STRUCT, 9(3), 298-303.
- Differential evolution based identification of automotive hydraulic engine mount model parameters. P I MECH ENG D-J AUT, 214(D3), 249-264.
- Damage detection using outlier analysis. J SOUND VIB, 229(3), 647-667.
- Application of two damage detection techniques to an offshore platform. Shock and Vibration Digest, 32(1), 30-31.
- On-line physical parameter estimation with adaptive forgetting factors. MECH SYST SIGNAL PR, 14(5), 705-730.
- Wavelet analysis of time-series: Coherent structures, chaos and noise. INT J BIFURCAT CHAOS, 9(3), 455-471.
- Random vibrations of a multi-degree-of-freedom non-linear system using the Volterra series. J SOUND VIB, 226(2), 397-405.
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- Random vibrations of a Duffing oscillator using the Volterra series. J SOUND VIB, 217(4), 781-789.
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- Analysis of wind fluctuations using the orthogonal wavelet transform. APPL SCI RES, 59(2-3), 205-218.
- Confidence bounds for frequency response functions from time series models. MECH SYST SIGNAL PR, 12(4), 559-569.
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- Structural fault detection using a novelty measure. J SOUND VIB, 201(1), 85-101.
- A harmonic probing algorithm for the multi-input Volterra series. J SOUND VIB, 201(1), 67-84.
- Time-frequency analysis in gearbox fault detection using the Wigner-Ville distribution and pattern recognition. MECH SYST SIGNAL PR, 11(5), 673-692.
- Classification of faults in gearboxes - Pre-processing algorithms and neural networks. NEURAL COMPUT APPL, 5(3), 160-183.
- On jump frequencies in the response of the Duffing oscillator. J SOUND VIB, 198(4), 522-525.
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- PSEUDO-FAULT INDUCTION IN ENGINEERING STRUCTURES - MULTIINPUT MULTIOUTPUT CONTROL. NONLINEAR DYNAM, 8(3), 367-384.
- CHARACTERIZATION OF AUTOMOTIVE SHOCK-ABSORBERS USING RANDOM-EXCITATION. P I MECH ENG D-J AUT, 209(4), 239-248.
- ON THE OVER-SAMPLING OF DATA FOR SYSTEM-IDENTIFICATION. MECH SYST SIGNAL PR, 9(3), 287-297.
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- MODELING AND CLASSIFICATION OF NONLINEAR-SYSTEMS USING NEURAL NETWORKS .2. A PRELIMINARY EXPERIMENT. MECH SYST SIGNAL PR, 8(4), 395-419.
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- EXPERIMENTAL IDENTIFICATION OF MULTI-DEGREE-OF-FREEDOM NONLINEAR-SYSTEMS USING RESTORING FORCE METHODS. MODAL ANAL, 9(1), 35-55.
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- An Implementation of a Generalised Irreducible Element Model Builder for use within a Population-based Framework. e-Journal of Nondestructive Testing, 29(7).
- Expanding Irreducible Element models: beams and composites. e-Journal of Nondestructive Testing, 29(7).
- Incorporating specialist engineering knowledge into IE models to facilitate enhanced SHM-based transfer learning within PBSHM. e-Journal of Nondestructive Testing, 29(7).
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- A spin on active learning analysis for health monitoring.. e-Journal of Nondestructive Testing, 29(7).
- A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring. Mechanical Systems and Signal Processing, 119, 100-119. View this article in WRRO
- Automatic kernel selection for Gaussian processes regression with approximate Bayesian computation and sequential Monte Carlo. Frontiers in Built Environment, 3. View this article in WRRO
- Robust methods for outlier detection and regression for SHM applications.. International Journal of Sustainable Materials and Structural Systems, 2(1/2). View this article in WRRO
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Book chapters
- Transferring Damage Detectors Between Tailplane Experiments, Data Science in Engineering, Volume 9 (pp. 199-211). River Publishers
- Towards Population-Based Structural Health Monitoring, Part V: Networks and Databases, Data Science in Engineering, Volume 9 (pp. 1-8). River Publishers
- On Topological Data Analysis for SHM: An Introduction to Persistent Homology, Data Science in Engineering, Volume 9 (pp. 169-184). River Publishers
- On Generating Parametrised Structural Data Using Conditional Generative Adversarial Networks, Data Science in Engineering, Volume 9 (pp. 35-46). River Publishers
- On an Application of Graph Neural Networks in Population-Based SHM, Data Science in Engineering, Volume 9 (pp. 47-63). River Publishers
- Heteroscedastic Gaussian Processes for Localising Acoustic Emission, Data Science in Engineering, Volume 9 (pp. 185-197). River Publishers
- On Aspects of Geometry in SHM and Population-Based SHM, Data Science in Engineering, Volume 9 (pp. 67-77). River Publishers
- On a Description of Aeroplanes and Aeroplane Components Using Irreducible Element Models, Data Science in Engineering, Volume 9 (pp. 103-114). River Publishers
- On the Use of Cycle-Consistent Generative Adversarial Networks for Nonlinear Modal Analysis, Topics in Modal Analysis & Parameter Identification, Volume 8 (pp. 45-57). River Publishers
- Investigating Engineering Data by Probabilistic Measures, Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 77-81). River Publishers
- On the Application of Domain Adaptation in SHM, Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 111-122). River Publishers
- On Stationarity and the Interpretation of the ADF Statistic, Dynamics of Civil Structures, Volume 2 (pp. 29-38). River Publishers
- State-of-the-Art and Future Directions for Predictive Modelling of Offshore Structure Dynamics Using Machine Learning, Dynamics of Civil Structures, Volume 2 (pp. 223-233). River Publishers
- Towards Physics-Based Metrics for Transfer Learning in Dynamics, Data Science in Engineering, Volume 10 (pp. 73-82). River Publishers
- A Meta-Learning Approach to Population-Based Modelling of Structures, Data Science in Engineering, Volume 10 (pp. 63-72). River Publishers
- Bayesian Solutions to State-Space Structural Identification, Model Validation and Uncertainty Quantification, Volume 3 (pp. 247-253). River Publishers
- An Evolutionary Approach to Learning Neural Networks for Structural Health Monitoring, Model Validation and Uncertainty Quantification, Volume 3 (pp. 237-246). River Publishers
- On Model Validation and Bifurcating Systems: An Experimental Case Study, Model Validation and Uncertainty Quantification, Volume 3 (pp. 1-16). River Publishers
- On Modelling Statistically Independent Nonlinear Normal Modes with Gaussian Process NARX Models, Nonlinear Structures & Systems, Volume 1 (pp. 135-147). River Publishers
- Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems, Nonlinear Structures & Systems, Volume 1 (pp. 165-175). River Publishers
- On the Use of Variational Autoencoders for Nonlinear Modal Analysis, Nonlinear Structures & Systems, Volume 1 (pp. 297-300). River Publishers
- Towards Risk-Informed PBSHM: Populations as Hierarchical Systems, Dynamics of Civil Structures, Volume 2 (pp. 117-128). River Publishers
- Quantifying the Value of Information Transfer in Population-Based SHM, Data Science in Engineering Vol. 10 (pp. 19-31). River Publishers
- On the Use of Symbolic Regression for Population-Based Modelling of Structures, Data Science in Engineering Vol. 10 (pp. 85-91). River Publishers
- A Comprehensive Dataset for a Population of Experimental Bridges Under Changing Environmental Conditions for PBSHM, Dynamics of Civil Structures, Vol. 2 (pp. 59-68). River Publishers
- On the Use of the Generating Series for the Impulse Response of Duffing's Equation, Nonlinear Structures & Systems, Vol. 1 (pp. 125-135). River Publishers
- On the Influence of Structural Attributes for Transferring Knowledge in Population-Based Structural Health Monitoring, Special Topics in Structural Dynamics & Experimental Techniques, Vol. 5 (pp. 59-66). River Publishers
- Bayesian Graph Neural Networks for Strain-Based Crack Localization, Data Science in Engineering, Volume 9 (pp. 253-261). River Publishers
- On Additive Gaussian Processes for Wind Farm Power Prediction, Lecture Notes in Civil Engineering (pp. 606-614). Springer Nature Switzerland
- A Transfer Learning Application for Damage Identification Across a Population of Experimental Bridges, Lecture Notes in Civil Engineering (pp. 33-43). Springer Nature Switzerland
- Data-Centric Monitoring of Wind Farms, Data Driven Methods for Civil Structural Health Monitoring and Resilience (pp. 120-180). CRC Press
- When is a Bridge Not an Aeroplane? Part II: A Population of Real Structures, Lecture Notes in Civil Engineering (pp. 965-974). Springer International Publishing
- On the Use of Graph Kernels for Assessing Similarity of Structures in Population-Based Structural Health Monitoring, Lecture Notes in Civil Engineering (pp. 995-1004). Springer International Publishing
- A Topological Analysis of Cointegrated Data: A Z24 Bridge Case Study, Lecture Notes in Civil Engineering (pp. 1095-1106). Springer International Publishing
- Gaussian Processes, Computational Methods in Engineering & the Sciences (pp. 121-147). Springer International Publishing
- Artificial Neural Networks, Computational Methods in Engineering & the Sciences (pp. 85-119). Springer International Publishing
- Digital Transformation by the Implementation of the True Digital Twin Concept and Big Data Technology for Structural Integrity Management, Ageing and Life Extension of Offshore Facilities (pp. 143-157). ASME
- Partially Supervised Learning for Data-Driven Structural Health Monitoring, Structural Integrity (pp. 389-411). Springer International Publishing
- Population-based structural health monitoring In Cury A, Ribeiro D, Ubertini F & Todd MD (Ed.), Structural Health Monitoring Based on Data Science Techniques (pp. 413-435). Springer Cham View this article in WRRO
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 989-1061). Springer New York
- New Modes of Inference for Probabilistic SHM, Lecture Notes in Civil Engineering (pp. 415-426). Springer International Publishing
- On Metrics Assessing the Information Content of Datasets for Population-Based Structural Health Monitoring, Lecture Notes in Civil Engineering (pp. 494-504). Springer International Publishing
- A Transfer Learning Application to FEM and Monitoring Data for Supporting the Classification of Structural Condition States, Lecture Notes in Civil Engineering (pp. 947-957). Springer International Publishing
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- Switching Response Surface Models for Structural Health Monitoring of Bridges, Surrogate-Based Modeling and Optimization (pp. 337-358). Springer New York
- Modelling of the Aluminium Alloy Al 2024 from the Microscale to the Macroscale: Intergranular Corrosion, WIT Transactions on State of the Art in Science and Engineering (pp. 59-75). WIT Press
- Appendix: Translation of Sections from Duffing's Original Book (pp. 323-354). Wiley
- Structural Health Monitoring using Pattern Recognition (pp. 183-246).
- Contributor contact details, Structural Health Monitoring of Civil Infrastructure Systems (pp. xi-xiv). Elsevier
- Damage localization of carbon fiber–reinforced plastic composite and perspex plates using novelty indices and the cross-validation set of multilayer perceptron neural network, Composite Materials Technology Neural Network Applications (pp. 115-133).
- Damage identification and localization of carbon fiber reinforced plastic composite plate using outlier analysis and multilayer perceptron neural network, Composite Materials Technology Neural Network Applications (pp. 79-114).
- Statistical pattern recognition and damage detection in structural health monitoring of civil infrastructure systems, Structural Health Monitoring of Civil Infrastructure Systems (pp. 305-335).
- Sensor placement optimisation for structural health monitoring In Boller C, Chang F & Fujino YZ (Ed.), Encyclopedia of structural health monitoring (pp. 1239-1250). Chichester: Wiley.
- Optimization Techniques for Damage Detection Wiley
- Modal–Vibration‐Based Damage Identification Wiley
- Principles of Structural Degradation Monitoring Wiley
- Signal Processing for Damage Detection Wiley
- Uncertainty Analysis Wiley
- Wavelet Based Feature Extraction for Acoustic Emission, Experimental Analysis of Nano and Engineering Materials and Structures (pp. 921-922). Springer Netherlands
- The Effect of Crack-Tip Interactions on the Curve-Fitting of Mixed-Mode Isopachics, Experimental Analysis of Nano and Engineering Materials and Structures (pp. 865-866). Springer Netherlands
- Measurement and Identification of Pre‐Sliding Friction Dynamics (pp. 349-367). Wiley
- Signal Processing for Damage Detection (pp. 163-206). Wiley
- The Smart Approach — An Introduction to Smart Technologies, Smart Technologies (pp. 1-5). WORLD SCIENTIFIC
- Data Fusion — The Role of Signal Processing for Smart Structures and Systems, Smart Technologies (pp. 71-107). WORLD SCIENTIFIC
- Nondestructive Evaluation of Structures Wiley
- Modal Vibration Methods in Structural Health Monitoring Wiley
- On the Reproducibility of Transducer Coupling for Acoustic Emission Testing, Advanced Materials Research (pp. 117-124). Trans Tech Publications Ltd.
- Considerations for Practical Neural Network Application to a Damage Detection Problem, Key Engineering Materials (pp. 151-158). Trans Tech Publications Ltd.
- Classification Using Radial Basis Function Networks with Uncertain Weights, Key Engineering Materials (pp. 135-142). Trans Tech Publications Ltd.
Conference proceedings
- System Identification of an MDOF Experimental Structure with a View Towards Validation and Verification (pp 57-65)
- An Experimental Investigation of Feature Availability in Nominally Identical Structures for Population-Based SHM (pp 185-191)
- A Gibbs sampler for removing environmental effects in structural health monitoring features. Proceedings of the 11th International Operational Modal Analysis Conference Iomac 2025 (pp 288-295)
- On Quantifying Data Normalisation via Cointegration with Topological Methods (pp 43-52)
- A Population Form via Hierarchical Bayesian Modelling of the FRF (pp 95-104)
- Better Together: Using Multi-Task Learning to Improve Feature Selection Within Structural Datasets (pp 53-62)
- Towards Exact Statistically Independent Nonlinear Normal Modes via the FPK Equation (pp 81-92)
- Calculating Structure Similarity via a Graph Neural Network in Population-Based Structural Health Monitoring: Part II (pp 151-158)
- A Tutorial on Data-Driven Methods in Nonlinear Dynamics (pp 51-70)
- The Astir Glider Wing Dataset for Population-Based SHM (pp 19-25)
- On Predicting Uncertainties in the Dynamic Response of a Welded Structure (pp 45-58)
- Equation Discovery Using an Efficient Variational Bayesian Approach with Spike-and-Slab Priors (pp 149-161)
- Implementation of an Organic Database Structure for Population-Based Structural Health Monitoring (pp 23-41)
- On the Application of the Generating Series for Nonlinear Systems with Polynomial Stiffness (pp 135-149)
- Towards Population-Based Structural Health Monitoring, Part VI: Structures as Geometry (pp 221-236)
- Active Learning Approaches to Structural Health Monitoring (pp 157-159)
- An Exploratory Study on Removing Environmental and Operational Effects Using a Regime-Switching Cointegration Method (pp 329-337)
- Identification of NonlinearWave Forces Using Gaussian Process NARX Models (pp 203-219)
- Evolutionary Identification of Block-Structured Systems (pp 359-366)
- On a Grey Box Modelling Framework for Nonlinear System Identification (pp 167-178)
- In-Process Monitoring of Automated Carbon Fibre Tape Layup Using Ultrasonic Guided Waves (pp 179-188)
- Wind Turbine Health Monitoring: Current and Future Trends with an Active Learning Twist (pp 119-130)
- Detection of Cracks in Beams Using Treed Gaussian Processes (pp 85-97)
- On the Behaviour of Structures with Many Nonlinear Elements (pp 509-520)
- Bayesian Inference and RJMCMC in Structural Dynamics: On Experimental Data (pp 23-36)
- Exploring Environmental and Operational Variations in SHM Data Using Heteroscedastic Gaussian Processes (pp 145-153)
- Analysis of Nonlinear System Response to an Impulse Excitation (pp 297-308)
- Nonlinear Time Series Analysis Using Bayesian Mixture of Experts (pp 111-121)
- Transfer learning via intermediate structures. e-Journal of Nondestructive Testing, Vol. 2024(07). Potsdam, Germany, 10 June 2024 - 10 June 2024. View this article in WRRO
- Decoupling nonlinear normal modes using normalising flows. Proceedings of the 42nd International Modal Analysis Conference. Orlando, Florida. United States, 29 January 2024 - 29 January 2024. View this article in WRRO
- On the topology and geometry of population-based SHM. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 3120-3137)
- Cost-informed dimensionality reduction for structural digital twin technologies. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 4529-4542)
- Towards an active-learning approach to resource allocation for population-based damage prognosis. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 3343-3353)
- Using higher-order frequency response functions from NARX models to support activation function choices. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 2294-2307)
- On the use of synthetic data for SHM: a short investigation on a laboratory structure. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 3369-3376)
- Knowledge sharing for improving damage identification across a population of heterogeneous aircraft models. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 3109-3119)
- When does a bridge become an aeroplane?. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 3312-3320)
- Nonlinear normal modes as normalising Kalman filters. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 2174-2187)
- Revisiting a link between algebraic geometry and nonlinear dynamics. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 2122-2137)
- Regularising NARX models with multi-task learning. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 2014-2021)
- ANOMALY DETECTION IN OFFSHORE WIND TURBINE STRUCTURES USING HIERARCHICAL BAYESIAN MODELLING. Proceedings of the 14th International Workshop on Structural Health Monitoring
- PHYSICS-INFORMED TRANSFER LEARNING IN PBSHM: A CASE STUDY ON EXPERIMENTAL HELICOPTER BLADES. Proceedings of the 14th International Workshop on Structural Health Monitoring
- A DECISION FRAMEWORK FOR SELECTING INFORMATION-TRANSFER STRATEGIES IN POPULATION-BASED SHM. Proceedings of the 14th International Workshop on Structural Health Monitoring
- SHARING INFORMATION BETWEEN MACHINE TOOLS TO IMPROVE SURFACE FINISH FORECASTING. Proceedings of the 14th International Workshop on Structural Health Monitoring
- ACOUSTIC EMISSION SOURCE LOCATION USING BAYESIAN OPTIMISATION FOR A COMPOSITE HELICOPTER BLADE. Proceedings of the 14th International Workshop on Structural Health Monitoring
- Hierarchical Bayesian modelling of a family of FRFs. Fourteenth International Workshop on Structural Health Monitoring (pp 2897-2905). Stanford University, California, 12 September 2023 - 12 September 2023. View this article in WRRO
- DETECTION, LOCALISATION, AND QUANTIFICATION OF BOLT LOOSENESS IN AN ALUMINIUM PLATE USING LAMB WAVE ANALYSIS. Proceedings of the 14th International Workshop on Structural Health Monitoring
- WHEN IS AN SHM PROBLEM A MULTI-TASK- LEARNING PROBLEM?. Proceedings of the 14th International Workshop on Structural Health Monitoring
- ON THE USE OF MODEL-BASED VERSUS DATA-BASED APPROACHES FOR VIRTUAL SENSING IN SHM. Proceedings of the 14th International Workshop on Structural Health Monitoring
- ON ENGLE-GRANGER COINTEGRATION USING TREED GAUSSIAN PROCESSES. Proceedings of the 14th International Workshop on Structural Health Monitoring
- Automatic selection of optimal structures for population-based structural health monitoring. Data Science in Engineering, Volume 10 Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023, Vol. 10 (pp 83-93). Austin, Texas, USA, 13 February 2023 - 13 February 2023. View this article in WRRO
- Hierarchical Bayes for population-based modelling of FRFs with temperature variation. Proceedings of the XII International Conference on Structural Dynamics. Delft, The Netherlands, 2 July 2023 - 2 July 2023. View this article in WRRO
- On the Influence of Structural Attributes for Assessing Similarity in Population-Based Structural Health Monitoring. Structural Health Monitoring 2023 Designing Shm for Sustainability Maintainability and Reliability Proceedings of the 14th International Workshop on Structural Health Monitoring (pp 1553-1562)
- A Comparison of Structural Similarity Metrics within Population-Based Structural Health Monitoring. Structural Health Monitoring 2023 Designing Shm for Sustainability Maintainability and Reliability Proceedings of the 14th International Workshop on Structural Health Monitoring (pp 176-185)
- On the Application of Partial Domain Adaptation for PBSHM (pp 408-418)
- A spatial autoregressive approach for wake field prediction across a wind farm. European Workshop on Structural Health Monitoring EWSHM 2022, Vol. 3(270) (pp 530-540). Palermo, Italy, 4 July 2022 - 4 July 2022. View this article in WRRO
- A Bayesian approach to Lamb-wave dispersion curve material identification in composite plates. European Workshop on Structural Health Monitoring: EWSHM 2022, Vol. 3 (pp 139-149). Palermo, Italy, 4 July 2022 - 4 July 2022. View this article in WRRO
- On robustness of optimal sensor placement to environmental variation for SHM. Structural Health Monitoring 2021 : Proceedings of the Thirteenth International Workshop on Structural Health Monitoring Stanford University, March 15-17 2022 (formerly December 7-9, 2021) (pp 977-987). Lancaster, PA, USA, 15 March 2022 - 15 March 2022. View this article in WRRO
- Assessment criteria for optimal sensor placement for a structural health monitoring system. Structural Health Monitoring 2021 : Proceedings of the Thirteenth International Workshop on Structural Health Monitoring Stanford University, March 15-17 2022 (formerly December 7-9, 2021) (pp 365-375). Lancaster, PA, USA, 15 March 2022 - 15 March 2022. View this article in WRRO
- On an application of generative adversarial networks on remaining lifetime estimation. Structural Health Monitoring 2021: Enabling Next Generation SHM for Cyber-Physical Systems: Proceedings of the Thirteenth International Workshop on Structural Health Monitoring (IWSHM). Stanford University, CA, USA, 15 March 2022 - 15 March 2022. View this article in WRRO
- INVESTIGATING EXPERIMENTAL REPEATABILITY AND FEATURE CONSISTENCY IN VIBRATION-BASED SHM. Proceedings of the 13th International Workshop on Structural Health Monitoring
- INVESTIGATING THE EFFECTS OF AMBIENT TEMPERATURE ON FEATURE CONSISTENCY IN VIBRATION-BASED SHM. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ON A POPULATION-BASED STRUCTURAL HEALTH MONITORING FRAMEWORK: AN AEROSPACE CASE STUDY. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ON THE APPLICATION OF TOPOLOGICAL DATA ANALYSIS: A Z24 BRIDGE CASE STUDY. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ON NORMALISATION FOR DOMAIN ADAPTATION IN POPULATION-BASED STRUCTURAL HEALTH MONITORING. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ASSESSING THE INFORMATION CONTENT OF DATASETS FOR STRUCTURAL HEALTH MONITORING. Proceedings of the 13th International Workshop on Structural Health Monitoring
- Semi-supervised risk-based active learning using inspection and maintenance information. Proceedings of ISMA 2022-International Conference on Noise and Vibration Engineering and USD 2022-International Conference on Uncertainty in Structural Dynamics. Leuven, Belgium, 12 September 2022 - 12 September 2022. View this article in WRRO
- Enhanced uncertainty quantification for acoustic emission localisation. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4890-4903)
- A comparison of kernel and deep domain adaptation methods for SHM. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 3662-3670)
- Virtual sensing for SHM: a comparison between Kalman filters and Gaussian processes. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 3792-3803)
- On higher-order frequency response functions from kernel-NARX methods. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 2301-2315)
- Bayesian identification of material properties for a fibre-composite plate, via dispersion curves. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 1866-1874)
- A nonparametric Bayesian approach for the detection of acoustic emission events in time series signals. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4777-4787)
- On quantifying the similarity of structures via a Graph Neural Network for population-based structural health monitoring. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 3713-3721)
- Investigating the effects of temperature variation in vibration-based SHM. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 3620-3628)
- Investigating experimental repeatability and feature consistency in vibration-based SHM using nominally-identical helicopter blades. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2022-August (pp 165-169)
- Towards risk-informed decision-making for population-based structural health monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2022-August (pp 425-428)
- On the application of heterogeneous transfer learning to population-based structural health monitoring. Data Science in Engineering, Volume 9 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (pp 87-98). Virtual conference, 8 February 2021 - 8 February 2021. View this article in WRRO
- Challenges for SHM from structural repairs : an outlier-informed domain adaptation approach. Data Science in Engineering, Volume 9 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (pp 75-86). Virtual conference, 8 February 2021 - 8 February 2021. View this article in WRRO
- On affine symbolic regression trees for the solution of functional problems. Nonlinear Structures & Systems, Volume 1 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (pp 95-108). Orlando, FL, USA, 8 February 2021 - 8 February 2021. View this article in WRRO
- On the application of variational auto encoders (VAE) for damage detection in rolling element bearings. Structural Health Monitoring 2021 : Proceedings of the Thirteenth International Workshop, August 31-September 2, 2021, Stanford University (pp 388-397). Lancaster, PA, USA, 15 March 2022 - 15 March 2022. View this article in WRRO
- Creating a network of structures based on physical similarity. Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure, Vol. 2021 (pp 1803-1808). Porto, Portugal (online), 30 June 2021 - 30 June 2021. View this article in WRRO
- Normalising flows and nonlinear normal modes. IFAC-PapersOnLine, Vol. 54(7) (pp 655-660). Padova, Italy, 13 July 2021 - 13 July 2021. View this article in WRRO
- On health-state transition models for risk-based structural health monitoring. Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021 (pp 49-60). Orlando, Florida, 8 February 2021 - 8 February 2021. View this article in WRRO
- Decomposition of multi-mode signals using dispersion curves and Bayesian linear regression. Proceedings of SPIE: Health Monitoring of Structural and Biological Systems XV, Vol. 11593. Online, 22 March 2021 - 22 March 2021. View this article in WRRO
- Nonlinear Gaussian process latent force models for input estimation in hysteretic systems. Uncecomp Proceedings, Vol. 2021-June
- On assessing the similarity of wind turbines for population-based structural health monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 1783-1788)
- On Domain-Adapted Gaussian Mixture Models for Population-Based Structural Health Monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 663-670)
- Automated Feature Extraction for Damage Detection: A Pseudo-fault Framework for Population-based SHM. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 655-661)
- When is a Bridge not an Aeroplane?. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 1775-1781)
- PBSHM - Guidance for ensuring quality when creating an IE model for a bridge. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 1789-1795)
- Comparison of bridge topology before and after repair using attributed graph comparisons towards population based SHM. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 1797-1802)
- On Implementing an Irreducible Element Model Schema for Population-Based Structural Health Monitoring. Structural Health Monitoring 2021 Enabling Next Generation Shm for Cyber Physical Systems Proceedings of the 13th International Workshop on Structural Health Monitoring Iwshm 2021 (pp 905-914)
- Towards population-based structural health monitoring, part IV : heterogeneous populations, transfer and mapping. Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020 (pp 187-199). Houston, TX USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Towards population-based structural health monitoring, part I : homogeneous populations and forms. Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020 (pp 287-302). Houston, TX USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Kernelised Bayesian transfer learning for population-based structural health monitoring. Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 3 (pp 209-215). Houston, TX USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Towards population-based structural health monitoring, Part III: graphs, networks and communities. Topics in Modal Analysis & Testing. Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 255-267). Houston, TX, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Towards population-based structural health monitoring, Part II : heterogeneous populations and structures as graphs. Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 177-187). Houston, TX, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Towards population-based structural health monitoring, part VII: EOV fields – environmental mapping. Topics in Modal Analysis & Testing. Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 297-304). Houston, TX, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- On partitioning of an SHM problem and parallels with transfer learning. Topics in Modal Analysis & Testing, Volume 8 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 41-50). Houston, TX, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- An ontological approach to structural health monitoring. Topics in Modal Analysis & Testing, Volume 8 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 51-59). Houston, TX, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- An application of generative adversarial networks in structural health monitoring. EURODYN 2020: Proceedings of the XI International Conference on Structural Dynamics, Vol. 2 (pp 3816-3831). Athens, Greece, 23 November 2020 - 23 November 2020. View this article in WRRO
- Modelling of guided waves in a composite plate through a combination of physical knowledge and regression analysis. Rotating Machinery, Optical Methods & Scanning LDV Methods: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 6 (pp 109-114). Houston, Texas, 10 February 2020 - 10 February 2020. View this article in WRRO
- An augmented risk-based paradigm for structural health monitoring. Dynamics of Civil Structures : Proceedings of the 38th IMAC, Vol. 2 (pp 201-212). Houston, Texas, 10 February 2020 - 10 February 2020. View this article in WRRO
- On decision-making for adaptive models combining physics and data. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3623-3637). Virtual Conference, Leuven, Belgium, 7 September 2020 - 7 September 2020. View this article in WRRO
- Lamb wave mode separation using dispersion curves. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 2891-2898)
- A PROBABILISTIC APPROACH TOWARDS UNCERTAINTY QUANTIFICATION IN JOINED STRUCTURES. Proceedings of the XI International Conference on Structural Dynamics (pp 3846-3864), 23 November 2020 - 26 November 2020.
- A neat approach to structural health monitoring. EURODYN 2020: Proceedings of the XI International Conference on Structural Dynamics (pp 3832-3845). Athens, Greece, 23 November 2020 - 23 November 2020. View this article in WRRO
- Uncertainty quantification framework for structural model of wind turbine blades. Proceedings of the International Conference on Structural Dynamic Eurodyn, Vol. 2 (pp 3911-3920)
- A spatiotemporal dual Kalman filter for the estimation of states and distributed inputs in dynamical systems. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3591-3597)
- Power mapping : a wind turbine performance indicator in population-based structural health monitoring. Proceedings of ISMA2020 including USD2020 (pp 3863-3869). Leuven, Belgium, 7 September 2020 - 7 September 2020. View this article in WRRO
- On the quantification of structural uncertainties of blades and their effect on wind turbine loads. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3853-3862)
- A sparse Bayesian approach to model structure selection and parameter estimation of dynamical systems using spike-and-slab priors. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3639-3653)
- On an application of probabilistic risk assessment to structural health monitoring. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), Vol. 2 (pp 2357-2366), 10 September 2019 - 10 September 2019. View this article in WRRO
- Gaussian processes for structural health monitoring of wind turbine blades. Proceedings, 12th International Workshop on Structural Health Monitoring(12) (pp 2744-2751). Stanford, California, USA, 10 September 2019 - 10 September 2019. View this article in WRRO
- Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning. Journal of Physics: Conference Series, Vol. 1264(1). Valpre, Lyon, France, 15 April 2019 - 15 April 2019. View this article in WRRO
- Identification of a Duffing oscillator using particle Gibbs with ancestor sampling. Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 15 April 2019. View this article in WRRO
- A probabilistic framework for online structural health monitoring : active learning from machining data streams. Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 15 April 2019. View this article in WRRO
- A Gaussian process form for population-based structural health monitoring. Proceedings of the 13th International Conference on Damage Assessment of Structures. Porto, Portugal, 9 July 2019 - 9 July 2019. View this article in WRRO
- On digital twins, mirrors and virtualisations. Model Validation and Uncertainty Quantification, Volume 3, Vol. 3 (pp 285-295). Reno, NV, USA, 3 June 2019 - 3 June 2019. View this article in WRRO
- On key technologies for realising digital twins for structural dynamics applications. Model Validation and Uncertainty Quantification, Volume 3, Vol. 3 (pp 267-272). Reno, NV, USA, 3 June 2019 - 3 June 2019. View this article in WRRO
- A nonlinear robust outlier detection approach for SHM. Proceedings of 8th International Operational Modal Analysis Conference (IOMAC 2019) (pp 107-114). Copenhagen, Denmark, 13 May 2019 - 13 May 2019. View this article in WRRO
- An efficient likelihood-free Bayesian computation for model selection and parameter estimation applied to structural dynamics. Structural Health Monitoring, Photogrammetry & DIC : Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018, Vol. 6 (pp 141-151). Orlando, FL, USA, 12 February 2018 - 12 February 2018. View this article in WRRO
- Statistical analysis of damage indicators based on ultrasonic testing with embedded piezoelectric transducers. 9th Eccomas Thematic Conference on Smart Structures and Materials Smart 2019 (pp 251-262)
- Novelty Detection in a Cantilever Beam using Extreme Function Theory. Journal of Physics: Conference Series, Vol. 1106(1). Cambridge, UK, 2 July 2018 - 2 July 2018. View this article in WRRO
- A principled multiresolution approach for signal decomposition.. Journal of Physics: Conference Series, Vol. 1106. Cambridge, United Kingdom, 2 July 2018 - 2 July 2018. View this article in WRRO
- Machine learning for energy load forecasting. Journal of Physics: Conference Series, Vol. 1106(1). Cambridge, United Kingdom, 2 July 2018 - 2 July 2018. View this article in WRRO
- Convolutional neural networks for the detection of damaged fasteners in engineering structures. Proceedings of the 9th European workshop on structural health monitoring (EWSHM 2019). Manchester, UK, 10 July 2018 - 10 July 2018. View this article in WRRO
- A Gaussian mixture model for automated corrosion detection in remanufacturing. Advances in Manufacturing Technology XXXII, Vol. 8. University of Skövde, Sweden, 11 September 2018 - 11 September 2018. View this article in WRRO
- Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data (pp 3053-3061)
- Using wavelet level variance and the discrete wavelet transform to monitor postoperative healing of vocal cords. 9th European Workshop on Structural Health Monitoring Ewshm 2018
- Outlier ensembles: An alternative robust method for inclusive outlier analysis with structural health monitoring data. 9th European Workshop on Structural Health Monitoring Ewshm 2018
- A semi-supervised bayesian non-parametric approach to damage detection. 9th European Workshop on Structural Health Monitoring Ewshm 2018
- On NARX models using treed Gaussian processes. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 2775-2782)
- On the use of pseudo-damage to represent damage to structures in population-based Structural Health Monitoring. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 3709-3722)
- Pseudo-faults (or damage metaphors) for SHM: A discussion on their practical use. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 3825-3835)
- Outlier analysis under uncertainty: Applications to structural health monitoring. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 4985-4999)
- A Bayesian filtering approach to operational modal analysis with recovery of forcing signals. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 5181-5194)
- On the structural health monitoring of operational wind turbine blades. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 (pp 2522-2529). Stanford, California, USA, 12 September 2017 - 12 September 2017. View this article in WRRO
- Aspects of computational intelligence in structural dynamics: Structural health monitoring. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp 1-7), 27 November 2017 - 1 December 2017.
- Assessment of vocal cord nodules: A case study in speech processing by using Hilbert-Huang Transform. Journal of Physics: Conference Series, Vol. 842(1). Kitakyushu, Japan, 10 July 2017 - 10 July 2017. View this article in WRRO
- An illustration of new methods in machine condition monitoring, Part I: Stochastic resonance. Journal of Physics: Conference Series, Vol. 842(1). Kitakyushu, Japan, 10 July 2017 - 10 July 2017. View this article in WRRO
- Aspects of Computational Intelligence in Structural Dynamics: Structural Health Monitoring. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp 1677-1683)
- Simplifying transformations for nonlinear systems: Part II, statistical analysis of harmonic cancellation. Nonlinear Dynamics, Vol. 1 (pp 321-326). Orlando, Florida View this article in WRRO
- Simplifying transformations for nonlinear systems: Part I, an optimisation-based variant of normal form analysis. Nonlinear Dynamics, Vol. 1 (pp 315-320). Orlando, Florida View this article in WRRO
- Identification of nonlinear dynamical systems using approximate Bayesian computation based on a sequential Monte Carlo sampler. Proceedings of ISMA2016 including USD2016 (pp 2551-2566). Leuven, Belgium, 19 September 2016 - 19 September 2016. View this article in WRRO
- An exploratory study of the suitability of a wind turbine blade as a nonlinear demonstrator. Proceedings of ISMA2016 including USD2016 (pp 4069-4080). Leuven, Belgium, 19 September 2016 - 19 September 2016. View this article in WRRO
- Experimental evaluation of environmental effects on a polymer-coated aluminium structure: a time-series analysis and pattern recognition approach. PROCEEDINGS OF ISMA2016 INCLUDING USD2016. Leuven, Belgium View this article in WRRO
- A nonlinear cointegration approach with applications to structural health monitoring. Journal of Physics: Conference Series, Vol. 744(012025). Southampton, UK View this article in WRRO
- On the usage of active learning for SHM. Proceedings of ISMA2016. Leuven, 19 September 2016 - 19 September 2016. View this article in WRRO
- Higher-Order Frequency Response Functions for Hysteretic Systems (pp 191-201)
- Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325-345)
- On the validation of nonlinear MDOF system models. Proceedings of ISMA 2016 International Conference on Noise and Vibration Engineering and Usd2016 International Conference on Uncertainty in Structural Dynamics (pp 2785-2796)
- Tool wear prediction and damage detection in milling using hidden Markov models. Proceedings of ISMA 2016 International Conference on Noise and Vibration Engineering and Usd2016 International Conference on Uncertainty in Structural Dynamics (pp 3391-3402)
- Data-based classifiers for identification of aircraft landing characteristics. 8th European Workshop on Structural Health Monitoring Ewshm 2016, Vol. 1 (pp 93-101)
- Data visualization approach for operational loading variations of an aircraft wing box using vibration based damage detection. 8th European Workshop on Structural Health Monitoring Ewshm 2016, Vol. 4 (pp 2893-2902)
- Structural Health Monitoring: from Structures to Systems-of-Systems ★ ★The support of the UK Engineering and Physical Sciences Research Council (EPSRC) through grant reference numbers EP/J016942/1 and EP/K003836/2, and that of the EU Framework 7 Programme for the ITN project SYSWIND, is gratefully acknowledged.. IFAC-PapersOnLine, Vol. 48(21) (pp 1-17)
- Non-stationary models for predicting strain on aircraft landing gear from flight data measurements. 28th ICAF Symposium – Helsinki, 3–5 June 2015
- Estimation of Fingertip Force from Surface EMG - A Multivariate Bayesian Mixture of Experts Approach. Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (pp 270-276), 12 January 2015 - 15 January 2015.
- Sensitivity Analysis of an Advanced Gas-Cooled Reactor Control Rod Model. Proceedings of ISMA 2014, International Conference on Noise and Vibration Engineering. Leuven, Belgium, 15 September 2014 - 15 September 2014. View this article in WRRO
- Bayesian Parameter Estimation and Model Selection of a Nonlinear Dynamical System using Reversible Jump Markov Chain Monte Carlo. Proceedings of ISMA 2014, International Conference on Noise and Vibration Engineering. Leuven, Belgium, 15 September 2014 - 15 September 2014. View this article in WRRO
- On Gaussian Process NARX Models and Their Higher-Order Frequency Response Functions (pp 315-335)
- On the use of the Mahalanobis squared-distance to filter out environmental effects in structural health monitoring. MATEC Web of Conferences, Vol. 16 (pp 02004-02004)
- Bayesian System Identification of Nonlinear Systems: Informative Training Data through Experimental Design. Proceedings of IMAC XXXII, Conference and Exposition on Structural Dynamics. Orlando, Florida USA, 3 February 2014 - 3 February 2014. View this article in WRRO
- Bayesian system identification of MDOF nonlinear systems using highly informative training data. Topics in Modal Analysis II, Volume 8 : Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014, Vol. 8 (pp 257-265). Orlando, Florida USA, 3 February 2014 - 3 February 2014. View this article in WRRO
- A machine learning approach to nonlinear modal analysis. Dynamics of Civil Structures, Volume 4 : Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014, Vol. 4 (pp 521-528). Orlando, FL, USA, 3 February 2014 - 3 February 2014. View this article in WRRO
- Bayesian System Identification of Dynamical Systems using Reversible Jump Markov Chain Monte Carlo. Proceedings of IMAC XXXII, Conference and Exposition on Structural Dynamics. Orlando, Florida USA, 3 February 2014 - 3 February 2014. View this article in WRRO
- Fatigue Crack Detection in Vibrating Structures Using Outlier Detection Analysis. 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014) (pp 2298-2303)
- Aircraft parametric structural load monitoring using Gaussian process regression. 7th European Workshop on Structural Health Monitoring Ewshm 2014 2nd European Conference of the Prognostics and Health Management Phm Society (pp 1933-1940)
- Use of a spatially adaptive thresholding method for the condition monitoring of a wind turbine gearbox. 7th European Workshop on Structural Health Monitoring Ewshm 2014 2nd European Conference of the Prognostics and Health Management Phm Society (pp 496-503)
- Wind turbine structural health monitoring: A short investigation based on SCADA data. 7th European Workshop on Structural Health Monitoring Ewshm 2014 2nd European Conference of the Prognostics and Health Management Phm Society (pp 512-519)
- Autoregressive Gaussian processes for structural damage detection. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 469-483)
- An experimental investigation of feature complexity and diversity in nominally similar test structures. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 4665-4674)
- Nonlinear robust regression analysis as a means of exploring SHM data. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 513-525)
- Sensitivity analysis using a Bayesian mixture of experts model for a bifurcating Duffing oscillator. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 4437-4452)
- Towards an ontology for verification and validation in structural dynamics. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 1171-1178)
- Nonlinear modal analysis using pattern recognition. Proceedings of ISMA2014 (pp 3017-3027). KU Leuven, 15 September 2014 - 15 September 2014. View this article in WRRO
- Damage identification in the mistuned bladed system utilizing the outlier analysis. Research and Applications in Structural Engineering Mechanics and Computation Proceedings of the 5th International Conference on Structural Engineering Mechanics and Computation Semc 2013 (pp 2309-2314)
- Damage detection in a glass plate using outlier analysis. Key Engineering Materials, Vol. 569-570 (pp 847-853)
- Coulomb friction-induced damping estimation at the crack interface for cantilever-type specimen. 11th International Conference on Recent Advances in Structural Dynamics. Pisa, Italy, 1 July 2013 - 3 July 2013.
- An approach to fault detection using a unified linear Gaussian framework. Structural Health Monitoring 2013 A Roadmap to Intelligent Structures Proceedings of the 9th International Workshop on Structural Health Monitoring Iwshm 2013, Vol. 2 (pp 2752-2759)
- On the Structural Health Monitoring of Repaired Aerospace Structures. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 956-+)
- Auto-Association and Novelty Detection: Truths and Myths?. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 243-250)
- Bayesian Regression Trees as Surrogate Models for the Health Monitoring of Civil Infrastructure. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 351-360)
- Cointegration for the Removal of Environmental and Operational Effects Using a Single Sensor. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 2400-2406)
- Prediction of Landing Gear Loads from Flight Test Data Using Gaussian Process Regression. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 1452-+)
- Filtering environmental load effects to enhance novelty detection on cable-supported bridge performance. Bridge Maintenance Safety Management Resilience and Sustainability Proceedings of the Sixth International Conference on Bridge Maintenance Safety and Management (pp 745-752)
- Applicability of a Markov-chain Monte Carlo method for damage detection on data from the Z-24 and Tamar suspension bridges. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 1 (pp 747-754)
- The effect of attenuation on the identification of impact damage in CFRP laminates. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 1 (pp 698-706)
- Damage detection on the NPL footbridge under changing environmental conditions. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 2 (pp 1124-1131)
- Prediction of landing gear loads using machine learning techniques. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 2 (pp 1056-1063)
- Impact damage detection for composite material typical of wind turbine blades using novelty detection. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 2 (pp 1287-1296)
- Experimental validation of the orthogonalised reverse path method using a nonlinear beam. Journal of Physics Conference Series, Vol. 382(1)
- Cointegration and why it works for SHM. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- Novelty detection applied to vibration data from a CX-100 wind turbine blade under fatigue loading.. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- Analysis of Reciprocity Breakdown in Nonlinear Systems. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- The benefits of duffing-type nonlinearities and electrical optimisation of a randomly excited energy harvester. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 6 (pp 657-667)
- Some recent developments in structural health monitoring. Key Engineering Materials, Vol. 518 (pp 298-318)
- Structural Health Monitoring of composite material typical of wind turbine blades by novelty detection on vibration response. Key Engineering Materials, Vol. 518 (pp 319-327)
- Identification of hysteretic systems using NARX models, part I: Evolutionary identification. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 4 (pp 49-56)
- Identification of hysteretic systems using NARX models, part II: A Bayesian approach. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 4 (pp 57-65)
- Damage detection in carbon composite material typical of wind turbine blades using auto-associative neural networks. Proceedings of SPIE the International Society for Optical Engineering, Vol. 8348
- On damage detection in wind turbine gearboxes using outlier analysis. Proceedings of SPIE the International Society for Optical Engineering, Vol. 8343
- Identification of hysteretic systems using self-adaptive optimisation. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 2491-2501)
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- CLASSIFICATION OF FAULTS IN SPUR GEARS. WCNN'93 - PORTLAND, WORLD CONGRESS ON NEURAL NETWORKS, VOL I (pp 169-173)
- Experimental study of a number of nonlinear SDOF systems using the restoring force surface method. Proceedings of the International Modal Analysis Conference IMAC, Vol. 1 (pp 757-764)
- Towards an improved wave force equation. 1st Int Offshore and Polar Eng Conf, Vol. 3 (pp 128-134). Edinburgh, UK, 11 August 1991 - 16 August 1991.
- On Conserving Privacy in Structural Health Monitoring. e-Journal of Nondestructive Testing, Vol. 29(7)
- A risk-based active learning approach to inspection scheduling. Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure. Porto, Portugal, 30 June 2021 - 30 June 2021. View this article in WRRO
- A Compressed Sensing Approach to Operational Modal Analysis Using Phase-Based Video Motion Magnification. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- A General Representation for Assessing the Similarity of Structures. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- On the application of domain adaptation for aiding supervised SHM methods. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), Vol. 2 (pp 3293-3303). Stanford, CA, USA, 10 September 2019 - 10 September 2019. View this article in WRRO
- Applying the Concept of Complexity to Structural Health Monitoring. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Experimental Validation of the Population-Form to Represent Nominally-Identical Systems. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Automated Fault Diagnosis with Calibrated Artefact Probing. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Structural Health Monitoring: A Review of Uncertainty Quantification Methods in Wind Turbine Systems. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Damage Classification Using Labelled and Unlabelled Measurements. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Assessing the Likelihood of Damage at the Start of a Structural Health Monitoring Campaign. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Output-only Identification of Loading and Modal Parameters in Dynamic Systems with Non-Gaussian Inputs. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Health Monitoring of Composite Structures by Combining Ultrasonic Wave Data. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Principal Component Analysis and Artificial Neural Network Framework for Damage Detection Strategy under Varying Operational Loading Conditions. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- A Time Series Decomposition Method For Heteroskedastic Data In Structural Health Monitoring. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- Compressive Sensing for Direct Time of Flight Estimation in Ultrasound-based NDT. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- On the Choice of Optimisation Scheme for Gaussian Process Hyperparameters in SHM Problems. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- A Simplified Treed Gaussian Process Approach to the Modelling of Bridge Data for Structural Health Monitoring. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- Clustering-based Crack Growth Characterisation using Synchronised Vibration and Acoustic Emission Measurements. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- Uncertainty Bounds on Higher-Order FRFs from Gaussian Process NARX Models. Procedia Engineering, Vol. 199 (pp 1994-2000). University of Rome, Italy, 10 September 2017 - 10 September 2017. View this article in WRRO
- ABC-NS: a new computational inference method applied to parameter estimation and model selection in structural dynamics. 23 Congrès Français de Mécanique. Lille, France, 28 August 2017 - 28 August 2017. View this article in WRRO
- An Illustration of New Methods in Machine Condition Monitoring, Part II: Adaptive outlier detection. Journal of Physics: Conference Series, Vol. 842(1). Kitakyushu, Japan, 10 July 2017 - 10 July 2017. View this article in WRRO
- Is it worth changing pattern recognition methods for structural health monitoring?. Journal of Physics: Conference Series, Vol. 842(1). Kitakyushu, Japan, 10 July 2017 - 10 July 2017. View this article in WRRO
- Extreme Function Theory for SHM: A Case Study for Wind Turbines. Structural Health Monitoring 2015
- Multiple Damage Identification Using the Reversible Jump Markov Chain Monte Carlo. Structural Health Monitoring 2015
- Towards a Population-based SHM: A Case Study on an Offshore Wind Farm. Structural Health Monitoring 2015
- Performance of linear and nonlinear resonant frequency energy harvesters under uncertain loading conditions. PROCEEDINGS OF ISMA2010 - INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING INCLUDING USD2010 (pp 4775-4789). Leuven, BELGIUM, 20 September 2010 - 22 September 2010.
- Performance of linear and nonlinear resonant frequency energy harvesters under uncertain loading conditions. International Conference on Noise and Vibration Engineering, September 2010.
- EACS 2016 paper - TOOL WEAR STATE CLUSTERING IN MILLING BASED ON RECORDED ACOUSTIC EMISSION
- EACS 2016 paper - ON CORRELATION AND CAUSALITY IN STRUCTURAL DYNAMICS
Presentations
- Structural Dynamics Research in Mechanical Engineering at the University of Sheffield. The Octagon Centre, University of Sheffield. View this article in WRRO
- Recent Advances in Approximate Bayesian Computation Methodology (Application in structural dynamics)..
Preprints
- On the topology and geometry of population-based SHM, arXiv.
- Towards an active-learning approach to resource allocation for population-based damage prognosis, arXiv.
- Cost-informed dimensionality reduction for structural digital twin technologies, arXiv.
- Active learning for regression in engineering populations: A risk-informed approach, arXiv.
- Multitask learning for improved scour detection: A dynamic wave tank study, arXiv.
- Quantifying the value of positive transfer: An experimental case study, arXiv.
- Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling, arXiv.
- Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems, arXiv.
- Quantifying the value of information transfer in population-based SHM, arXiv.
- Population-based wind farm monitoring based on a spatial autoregressive
approach.
- Sharing Information Between Machine Tools to Improve Surface Finish Forecasting, arXiv.
- Towards a population-informed approach to the definition of data-driven models for structural dynamics, arXiv.
- A decision framework for selecting information-transfer strategies in population-based SHM, arXiv.
- On the hierarchical Bayesian modelling of frequency response functions, arXiv.
- When is an SHM problem a Multi-Task-Learning problem?, arXiv.
- Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets, arXiv.
- A Meta-Learning Approach to Population-Based Modelling of Structures, arXiv.
- Towards a Population-Informed Approach to the Definition of Data-Driven Models for Structural Dynamics, Elsevier BV.
- On the application of topological data analysis: a Z24 Bridge case study, arXiv.
- On the application of the generating series for nonlinear systems with polynomial stiffness, arXiv.
- A topological analysis of cointegrated data: a Z24 Bridge case study, arXiv.
- On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation, arXiv.
- Mitigating sampling bias in risk-based active learning via an EM algorithm, arXiv.
- Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers, arXiv.
- A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes, arXiv.
- On statistic alignment for domain adaptation in structural health monitoring, arXiv.
- Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals, arXiv.
- A Bayesian Approach for Shaft Centre Localisation in Journal Bearings, arXiv.
- Modelling variability in vibration-based PBSHM via a generalised population form, arXiv.
- On generative models as the basis for digital twins, arXiv.
- On partitioning of an SHM problem and parallels with transfer learning, arXiv.
- On generating parametrised structural data using conditional generative adversarial networks, arXiv.
- On an application of graph neural networks in population based SHM, arXiv.
- On the application of generative adversarial networks for nonlinear modal analysis, arXiv.
- Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm, arXiv.
- On risk-based active learning for structural health monitoring, arXiv.
- Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces, arXiv.
- Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data, arXiv.
- Damage detection in operational wind turbine blades using a new approach based on machine learning, arXiv.
- Structured Machine Learning Tools for Modelling Characteristics of Guided Waves, arXiv.
- A probabilistic risk-based decision framework for structural health monitoring, arXiv.
- Bayesian graph neural networks for strain-based crack localization, arXiv.
- On topological data analysis for structural dynamics: an introduction to persistent homology. View this article in WRRO
- On sensor optimisation for structural health monitoring robust to environmental variations. View this article in WRRO
- A Bayesian Method for Material Identification of Composite Plates Via Dispersion Curves.
- Structural Dynamics in Engineering Design. Wiley.
- Grants
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- ARTIMA, funded by European Commission, 12/2004 - 11/2007; £291022 (50%)
- "Characterisation of damage in Complex Structures by Acoustic Emission During Fatigue Testing", funded by EPSRC, 07/2005 - 06/2008; £78,492 (50%)
- Smart Sensing for Structural Health Monitoring, funded by ESPRC, 11/2006 - 10/2009, £230,400
- Uncertainty Propagation in Structures, Systems and Processes, funded by ESPRC, 11/2006 - 10/2011; £734193 (25%)
- Teaching activities
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- MEC113 Solids, Liquids and Gases
- MEC409 Signal Processing and Instrumentation
- MEC415 Condition Monitoring