Dr Graeme Manson
BEng(Hons), PhD
School of Mechanical, Aerospace and Civil Engineering
Senior Lecturer
Final Year BEng and MEng Tutor and Project Coordinator
+44 114 222 7790
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
 Profile

Dr Manson received his BEng(Hons) in Mechanical Engineering from HeriotWatt University in 1992 before completing a PhD in Mechanical Engineering at the University of Manchester which was awarded in 1996. He joined the Department of Mechanical Engineering at the University of Sheffield in 1995 as a Research Assistant before becoming a Research Associate in 1997.
Dr Manson was awarded an EPSRC Advanced Research Fellowship in 2002 and upon completion in 2007 become a member of academic staff in the department in the role of Lecturer. Since 2008, he has been a Senior Lecturer in the department. He is also the Course Director for all of the department´s MSc courses.
 Research interests

The main concern of Dr Manson´s research has been, throughout, the development of robust structural health monitoring strategies for the purposes of damage identification. Over the years, this has taken on various approaches beginning with the examination of the response of nonlinear mechanical systems before moving into the fields of signal processing, pattern recognition, machine learning and multivariate statistics for damage identification.
More recently, with the questions of damage prognosis and robustness of structural health monitoring systems, the research has led toward the investigation of the propagation of uncertainty through systems and structures.
Current activities
 Uncertainty Analysis: Investigation of the effects on a system's response of propagating uncertainty (due to lack of knowledge or environmental effects) through that system. Also, employing uncertainty analysis to enhance robustness of damage identification techniques.
 Hybrid and Robust Optimisation: Utilisation of uncertainty analysis tools within genetic and emergent optimisation techniques to make the process more efficient and to tackle the issue of optimising functions where parameters are not fully known.
 Advanced Signal Processing: Feature selection methods for robust damage identification insensitive to operational and environmental variations. Geneticbased methods for optimal feature selection and sensor placement.
 Nonlinear Systems: Using functional series to represent the response of nonlinear systems.
Research Projects
 Selfassembly of diagnostic systems for Structural Health Monitoring
 Pattern recognition for Healthcare diagnostics
 Robust Structural Health Monitoring techniques to bridge the gap between laboratory and working platforms.
 Publications

Journal articles
 Phase/frequency analysis of diffuse Lambwave field for fatiguecrack detection in an aluminium multiriveted strap joint aircraft panel. Measurement, 224, 113884113884.
 Hierarchical verification and validation in a forward modeldriven structural health monitoring strategy. Structural Health Monitoring. View this article in WRRO
 Fatiguecrack detection in a multiriveted strapjoint aluminium aircraft panel using amplitude characteristics of diffuse Lamb wave field. Materials, 16(4). View this article in WRRO
 Kernel principal component analysis for structural health monitoring and damage detection of an engineering structure under operational loading variations. Journal of Failure Analysis and Prevention, 21(6), 19811990. View this article in WRRO
 Data Clustering based on Gaussian Mixture Model and ExpectationMaximization Algorithm for Datadriven Structural Health Monitoring System. International Journal of Integrated Engineering, 13(5), 167175.
 Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from highdimensional data. Journal of Sound and Vibration. View this article in WRRO
 Active learning for semisupervised structural health monitoring. Journal of Sound and Vibration, 437, 373388. View this article in WRRO
 On evolutionary system identification with applications to nonlinear benchmarks. Mechanical Systems and Signal Processing, 112, 194232. View this article in WRRO
 On multisite damage identification using singlesite training data. Journal of Sound and Vibration, 409, 4364. View this article in WRRO
 A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions. Mechanical Systems and Signal Processing, 6465, 188216. View this article in WRRO
 A numericallyenhanced machine learning approach to damage diagnosis using a Lamb wave sensing network. Journal of Sound and Vibration, 333(19), 44994525.
 The use of pseudofaults for damage location in SHM: An experimental investigation on a Piper Tomahawk aircraft wing. Journal of Sound and Vibration, 333(3), 971990. View this article in WRRO
 Damage detection in RAPTOR telescope systems using timefrequency analysis methods. Key Engineering Materials, 588, 4353.
 Advanced tools for damage detection in wind turbines. Key Engineering Materials, 569570, 547554.
 Features for damage detection with insensitivity to environmental and operational variations. PROCEEDINGS OF THE ROYAL SOCIETY AMATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 468(2148), 40984122. View this article in WRRO
 Nondestructive inspection of adhesively bonded patch repairs using Lamb waves. PLASTICS RUBBER AND COMPOSITES, 41(2), 6168.
 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, 13161323.
 Some experimental observations on the detection of composite damage using lamb waves. Strain, 47(SUPPL. 1).
 Bayesian sensitivity analysis of a model of the aortic valve. Journal of Biomechanics, 44(8), 14991506.
 The use of pseudofaults for novelty detection in SHM. J SOUND VIB, 329(12), 23492366.
 View this article in WRRO Fuzzy stability analysis of regenerative chatter in milling. J SOUND VIB, 329(8), 10251041.
 Vibrationbased structural health monitoring using large sensor networks. SMART STRUCTURES AND SYSTEMS, 6(3), 335347.
 Analysis of advanced feature selection within the damage identification framework. Proceedings of the 5th European Workshop  Structural Health Monitoring 2010, 376381.
 Advanced feature selection for simplified pattern recognition within the damage identification framework. SHOCK AND VIBRATION, 17(45), 589599.
 An evidencebased approach to damage location on an aircraft structure. MECH SYST SIGNAL PR, 23(6), 17921804.
 The use of uncertainty analysis as a food waste estimation tool.. Waste Manag Res, 27(3), 199206.
 Genetic optimisation of a neural network damage diagnostic. AERONAUTICAL JOURNAL, 112(1131), 267274.
 Genetic optimisation of a neural damage locator. J SOUND VIB, 309(35), 529544.
 Prognosis under uncertainty  An idealised computational case study. SHOCK AND VIBRATION, 15(34), 231243.
 The fundamental axioms of structural health monitoring. P R SOC A, 463(2082), 16391664.
 Damage location in an isotropic plate using a vector of novelty indices. MECH SYST SIGNAL PR, 21(4), 18851906.
 The application of machine learning to structural health monitoring.. Philos Trans A Math Phys Eng Sci, 365(1851), 515537.
 Damage detection using stress waves and multivariate statistics: An experimental case study of an aircraft component. STRAIN, 43(1), 4753.
 Evaluation of neural network performance and generalisation using thresholding functions. NEURAL COMPUT APPL, 16(2), 109124.
 EFFECT OF STUD PARAMETERS ON TRACTION. Journal of Biomechanics, 40, S55S55.
 Abstracts from the 6th International Conference on the Engineering of Sport, 10–14 July 2006, Olympic Hall, Munich, Germany. Sports Engineering, 9(4), 229249.
 Evaluation of neural network robust reliability using informationgap theory. IEEE T NEURAL NETWOR, 17(6), 13491361.
 An application of intervalvalued neural networks to a regression problem. P R SOC A, 462(2074), 30973114.
 A novel informationgap technique to assess reliability of neural networkbased damage detection. J SOUND VIB, 293(12), 96111.
 The use of uncertainty analysis for the design of container closures. PACKAG TECHNOL SCI, 19(3), 139147.
 Using neural networks to understand relationships in the traction of studded footwear on sports surfaces. Journal of Biomechanics, 39, S183S183.
 Some observations on uncertainty propagation through a simple nonlinear system. JOURNAL OF SOUND AND VIBRATION, 288(3), 601621.
 Uncertainty in structural dynamics. J SOUND VIB, 288(3), 423429.
 A Volterra series approximation to the coherence of the Duffing oscillator. J SOUND VIB, 286(3), 529547.
 Structural health monitoring of an annular component using a statistical approach. STRAIN, 41(3), 117127.
 Fuzzy finite element analysis using the transformation method. Conference Proceedings of the Society for Experimental Mechanics Series.
 Extreme value statistics from differential evolution for damage detection. Conference Proceedings of the Society for Experimental Mechanics Series.
 Identification of presliding friction dynamics. CHAOS, 14(2), 420430.
 A theoretical framework for core material properties identification in cellular solids using novelty detection. STRAIN, 40(1), 512.
 Experimental validation of a structural health monitoring methodology. Part III. Damage location on an aircraft wing. J SOUND VIB, 259(2), 365385.
 Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure. J SOUND VIB, 259(2), 323343.
 Experimental validation of a structural health monitoring methodology. Part II. Novelty detection on a Gnat aircraft. J SOUND VIB, 259(2), 345363.
Damage assessment in smart composite structures: the DAMASCOS program . Smart Structures and Materials 2001: Smart Structures and Integrated Systems. Visualisation and Dimension Reduction of Acoustic Emission Data for Damage Detection. Journal of Intelligent Materials Systems and Structures, 12(8), 529536.
 Visualisation and dimension reduction of acoustic emission data for damage detection. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 12(8), 529536.
 Damage assessment in smart composite structures: the DAMASCOS programme. Air & Space Europe, 3(34), 132138.
 Detection of defects in composite plates using Lamb waves and novelty detection. INT J SYST SCI, 31(11), 13971409.
 Damage detection using outlier analysis. J SOUND VIB, 229(3), 647667.
 Damage identification using multivariate statistics: Kernel discriminant analysis. INVERSE PROBLEMS IN ENGINEERING, 8(1), 2546.
 Random vibrations of a multidegreeoffreedom nonlinear system using the Volterra series. J SOUND VIB, 226(2), 397405.
 Random vibrations of a Duffing oscillator using the Volterra series. J SOUND VIB, 217(4), 781789.
 A harmonic probing algorithm for the multiinput Volterra series. J SOUND VIB, 201(1), 6784.
 A simple criterion for establishing an upper limit to the harmonic excitation level of the duffing oscillator using the Volterra series. J SOUND VIB, 190(5), 751762.
 PSEUDOFAULT INDUCTION IN ENGINEERING STRUCTURES  MULTIINPUT MULTIOUTPUT CONTROL. NONLINEAR DYNAM, 8(3), 367384.
 PSEUDONONLINEARITIES IN ENGINEERING STRUCTURES. P ROY SOC LOND A MAT, 445(1923), 193220.
 On the identification of hysteretic systems. Part I: Fitness landscapes and evolutionary identification. Mechanical Systems and Signal Processing.
 Timeoptimal control of an overhead crane model. Optimal Control Applications and Methods, 3(2), 115120.
Chapters
 StateoftheArt and Future Directions for Predictive Modelling of Offshore Structure Dynamics Using Machine Learning, Conference Proceedings of the Society for Experimental Mechanics Series (pp. 223233). Springer International Publishing
 Contributor contact details, Structural Health Monitoring of Civil Infrastructure Systems (pp. xixiv). Elsevier
 Damage localization of carbon fiber–reinforced plastic composite and perspex plates using novelty indices and the crossvalidation set of multilayer perceptron neural network, Composite Materials Technology: Neural Network Applications (pp. 115133).
 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. 79114).
 Statistical pattern recognition and damage detection in structural health monitoring of civil infrastructure systems, Structural Health Monitoring of Civil Infrastructure Systems (pp. 305335).
 Optimization Techniques for Damage Detection John Wiley & Sons, Ltd
 Uncertainty Analysis John Wiley & Sons, Ltd
Conference proceedings papers
 Periodic Response Prediction for Hybrid and Piecewise Linear Systems (pp 4149)
 On the Selection and Validation of Component Damage Models for Prediction of DamageState Behavior of a Truss Bridge (pp 181188)
 Hierarchical Model Verification and Validation for Structural Health Monitoring Using Dynamic Substructuring (pp 533542)
 The role of features in a hierarchical modelling strategy for forward modeldriven structural health monitoring. Proceedings of ISMA2022 including USD2022
 Active Learning Approaches to Structural Health Monitoring (pp 157159)
 Predicting nonlinear system responses without a single simulation. Proceedings of ISMA 2018  International Conference on Noise and Vibration Engineering and USD 2018  International Conference on Uncertainty in Structural Dynamics (pp 26312645)
 Pseudofaults (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 38253835)
 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 51815194)
 On the choice of optimisation scheme for Gaussian process hyperparameters in SHM problems. Structural Health Monitoring 2017: RealTime Material State Awareness and DataDriven Safety Assurance  Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, Vol. 2 (pp 21032111)
 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 28932902)
 A forwardlooking approach to nonlinear systems. Proceedings of ISMA 2016  International Conference on Noise and Vibration Engineering and USD2016  International Conference on Uncertainty in Structural Dynamics (pp 26972708)
 HigherOrder Frequency Response Functions for Hysteretic Systems (pp 191201)
 On the Behaviour of Structures with Many Nonlinear Elements (pp 509520)
 Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325345)
 On Gaussian Process NARX Models and Their HigherOrder Frequency Response Functions (pp 315335)
 Analysis of Nonlinear System Response to an Impulse Excitation (pp 297308)
 Use of the TeagerKaiser energy operator for condition monitoring of a wind turbine gearbox. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 42554268)
 SHM Feature Selection using damage metaphors. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 33453358)
 Higherorder frequency response functions from Gaussian Process NARX models. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 25752589)
 Identification of hysteretic systems using selfadaptive optimisation. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 24912501)
 Damage detection in gearboxes considering intermittent faults and timevarying loads. Key Engineering Materials, Vol. 518 (pp 7686)
 Analysis of Reciprocity Breakdown in Nonlinear Systems. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
 On damage detection in wind turbine gearboxes using outlier analysis. Proceedings of SPIE  The International Society for Optical Engineering, Vol. 8343
 On the identification of hysteretic systems, part I: An extended evolutionary scheme. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 2 (pp 6775)
 Classification of MultiSite Damage using Support Vector Machines. 9th International Conference on Damage Assessment of Structures. Oxford, UK
 Multiplesite Damage Location Using Singlesite Training Data (pp 195201)
 Analysis of instantaneous characteristics of guided ultrasonic waves in metallic structures with aluminium repair patches. Proceedings of SPIE  The International Society for Optical Engineering, Vol. 7984
 Damage location using added masses in a Piper Tomahawk aircraft wing. Proceedings of ISMA 2010: International Conference on Noise and Vibration Engineering. Leuven, Belgium
 Prospective applications for SHM on commercial aircraft. Structural Health Monitoring 2009: From System Integration to Autonomous Systems  Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009, Vol. 1 (pp 223230)
 An investigation into the Instantaneous Phase of Guided Ultrasonic Waves in a multiriveted strap joint aluminum panel. Structural Health Monitoring 2009: From System Integration to Autonomous Systems  Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009, Vol. 2 (pp 22902298)
 Finite Element Modelbased Feature Generation for Structural Health Monitoring. IMACXXVII: Conference & Exposition on Structural Dynamics. Orlando, FL
 Selecting Features for Damage Identification without Damaging the Structure. IWSHM2009, 7th International Workshop on Structural Engineering Dynamics. Stanford, CA
 Volterra methods for constructing structural dynamic observables for nonlinear systems: An extended calculation. Journal of Physics: Conference Series, Vol. 181(1)
 Fatigue crack detection in a multiriveted strap joint aluminium panel. Proceedings of SPIE  The International Society for Optical Engineering, Vol. 7295
 Training damage classifiers in the absence of damage data. Conference Proceedings of the Society for Experimental Mechanics Series
 Uncertain models of bifurcating chaotic systems. Conference Proceedings of the Society for Experimental Mechanics Series
 Smart sensing for structural health monitoring (S3HM). Proceedings of the World Forum on Smart Materials and Smart Structures Technology, SMSST'07 (pp 156)
 Fault induction using added masses for structural damage identification. PROCEEDINGS OF ISMA 2008: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS. 18 (pp 33333344)
 View this article in WRRO Bayesian Sensitivity Analysis of a Large Nonlinear Model. PROCEEDINGS OF ISMA 2008: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS. 18 (pp 37233736)
 Syndromic Surveillance as a Paradigm for SHM Data Fusion. PROCEEDINGS OF THE FOURTH EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING 2008 (pp 9981014)
 The Use of PseudoFaults for SHM Feature Selection and Pattern Recognition. PROCEEDINGS OF THE FOURTH EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING 2008 (pp 11041112)
 Fuzzy stability analysis of milling processes. PROCEEDINGS OF ISMA 2008: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS. 18 (pp 29933005)
 Fatigue Crack Detection in Aircraft Riveted Panels using Frequency/Phase Analysis of Lamb Waves. PROCEEDINGS OF THE FOURTH EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING 2008 (pp 766775)
 An Investigation into the Necessary Model Fidelity for SHM Feature Selection. PROCEEDINGS OF THE FOURTH EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING 2008 (pp 980989)
 Aspects of novelty detection. Damage Assessment of Structures VII, Vol. 347 (pp 316)
 Genetic optimisation of a damage locator II. Conference Proceedings of the Society for Experimental Mechanics Series
 Optimisation of Neural Network Weights for Robustness to Data Uncertainty. IMACXXV Conference and Exposition on Structural Dynamics. Orlando, Florida
 Modelling traction of studded footwear on sports surfaces using neural networks, Vol. 3 (pp 403408)
 A fresh approach to sports equipment design: Evolving hockey sticks using genetic algorithms, Vol. 3 (pp 8186)
 Feature selection for a neural network damage diagnostic using a genetic algorithm. Proceedings of the Third European Workshop Structural Health Monitoring 2006 (pp 683690)
 Extending the prediction horizon of uncertainweighted regression models. Proceedings of ISMA2006: International Conference on Noise and Vibration Engineering, Vols 18 (pp 19631974)
 Calculating frequency response functions for uncertain systems using complex affine analysis. JOURNAL OF SOUND AND VIBRATION, Vol. 288(3) (pp 487521)
 On replacing a nonlinear system with an uncertain linear model: Part I  The time domain. Conference Proceedings of the Society for Experimental Mechanics Series
 Classification using linear models with uncertain weights. Structural Dynamics  EURODYN 2005, Vols 13 (pp 969974)
 Eliminating environmental effects from Lamb wavebased structural health monitoring. Proceedings of ISMA 2004: International Conference on Noise and Vibration Engineering, Vols 18 (pp 471484)
 An application of intervalvalued neural networks to a regression problem. Proceedings of ISMA 2004: International Conference on Noise and Vibration Engineering, Vols 18 (pp 20912100)
 Uncertainty propagation through radial basis function networks. Part I: Regression networks. Structural Dynamics  EURODYN 2005, Vols 13 (pp 923928)
 Uncertainty propagation through radial basis function networks. Part II: Classification networks. Structural Dynamics  EURODYN 2005, Vols 13 (pp 929934)
 Considerations for practical neural network application to a damage detection problem. DAMAGE ASSESSMENT OF STRUCTURES VI, Vol. 293294 (pp 151158)
 Classification using radial basis function networks with uncertain weights. DAMAGE ASSESSMENT OF STRUCTURES VI, Vol. 293294 (pp 135142)
 Environmental effects on lamb wave responses from piezoceramic sensors. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS, Vol. 4404 (pp 195202)
 Novelty detection technique with SLV for identification of core properties in honeycombs and cellular solids. NONDESTRUCTIVE EVALUATION AND HEALTH MONITORING OF AEROSPACE MATERIALS AND COMPOSITES II, Vol. 5046 (pp 191199)
 Frequency response functions for uncertain nonlinear systems. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS, Vol. 4404 (pp 3744)
 DAMASCOS damage location demonstrator for structural health monitoring. EUROPEAN WORKSHOP ON SMART STRUCTURES IN ENGINEERING AND TECHNOLOGY, Vol. 4763 (pp 141148)
 Damage localisation in a plate structure using novelty indices. NOISE AND VIBRATION ENGINEERING, VOLS 1  3, PROCEEDINGS (pp 201207)
 Lambwave sensor optimisation using differential evolution. SMART STRUCTURES AND MATERIALS 2001: MODELING, SIGNAL PROCESSING, AND CONTROL IN SMART STRUCTURES, Vol. 4326 (pp 570580)
 An experimental appraisal of the strain energy damage location method. DAMAGE ASSESSMENT OF STRUCTURES, Vol. 2042 (pp 3546)
 On the longterm stability of normal condition for damage detection in a composite panel. DAMAGE ASSESSMENT OF STRUCTURES, Vol. 2042 (pp 359369)
 Sensor optimisation for a damage location problem. PROCEEDINGS OF IMACXIX: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2, Vol. 4359 (pp 12261233)
 Experimental validation of a health monitoring method. PROCEEDINGS OF IMACXIX: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2, Vol. 4359 (pp 221230)
 Damage localisation in a plate structure using novelty indices. Proceedings of the 25th International Conference on Noise and Vibration Engineering, ISMA (pp 223229)
 Spectral response of a nonlinear system. Proceedings of SPIE  The International Society for Optical Engineering, Vol. 4062
 Application of ultrasonic Lamb wave techniques to the evaluation of advanced composite structures. Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials
 Damage localisation using novelty indices. STRUCTURAL DYNAMICS: RECENT ADVANCES, VOLS 1 & 2, PROCEEDINGS (pp 965977)
 Spectral response of a nonlinear system. IMACXVIII: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2, PROCEEDINGS, Vol. 4062 (pp 17101716)
 Longterm stability of normal condition data for novelty detection. SMART STRUCTURES AND MATERIAL 2000: SMART STRUCTURES AND INTEGRATED SYSTEMS, Vol. 3985 (pp 323334)
 Experimental validation of two structural health monitoring methods. STRUCTURAL HEALTH MONTORING 2000 (pp 784799)
 Visualisation and dimension reduction of highdimensional data for damage detection. IMAC  PROCEEDINGS OF THE 17TH INTERNATIONAL MODAL ANALYSIS CONFERENCE, VOLS I AND II, Vol. 3727 (pp 15761585)
 Visualisation and dimension reduction of acoustic emission data for damage detection. DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES, Vol. 1671 (pp 6475)
 Damage detection using multivariate statistics. Part I: Outlier analysis. Proceedings of the 23rd International Conference on Noise and Vibration Engineering, ISMA (pp 189195)
 Higherorder FRFs for multiinput nonlinear systems: A case study. NEW ADVANCES IN MODAL SYNTHESIS OF LARGE STRUCTURES (pp 549561)
 Random vibration analysis of a nonlinear system using the Volterra series. PROCEEDINGS OF THE 15TH INTERNATIONAL MODAL ANALYSIS CONFERENCE  IMAC, VOLS I AND II, Vol. 3089 (pp 10031011)
 PSEUDOFAULT INDUCTION AND HARMONIC SUPPRESSION IN ENGINEERING STRUCTURES. SMART SENSING, PROCESSING, AND INSTRUMENTATION, Vol. 2191 (pp 499510)
 Pseudofault induction in engineering structures. American Society of Mechanical Engineers, Aerospace Division (Publication) AD, Vol. 35 (pp 449455)
 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.
 Grants

 Uncertainty, Propagation in Structures, Systems and Processes, funded by EPSRC, 11/2006 – 10/2011; £734193 (25%)
 Smart Sensing for Structural Health Monitoring, funded by EPSRC, £230400
 Teaching activities

 MEC319 – Sensors, Actuators and Controllers
 MEC415 – Condition Monitoring