Dr Nikolaos Dervilis

BSc, MSc, PhD

Nikos DervilisSenior Lecturer

Department of Mechanical Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
UK

Telephone: (0114) 222 7816

Email: n.dervilis@sheffield.ac.uk





Profile

Nikolaos Dervilis is a senior lecturer in the Department of Mechanical Engineering at the University of Sheffield and a member of the Dynamics Research Group (DRG). He studied physics in the National and Kapodistrian University of Athens. Later, he obtained his MSc in Sustainable and Renewable Energy Systems from the University of Edinburgh in the Department of Electronics and Electrical Engineering. He obtained his PhD from the University of Sheffield, Mechanical Engineering Department in the field of machine learning for Structural Health Monitoring (SHM). His expertise focuses on SHM, pattern recognition, data analysis and nonlinear dynamics. He is especially engaged with renewable energy research, particularly wind turbine farms.






Research Interests

Nikolaos’s current research interests include:

  • Structural Health Monitoring (SHM): machine learning and pattern recognition techniques for data analysis, structural damage characterisation and non-destructive evaluation methods.
  • Onshore and offshore wind farms, sustainable energy systems.
  • Data analysis and information learning tools.
  • Nonlinear dynamics and advanced signal processing.





Journal articles

Chapters

Conference proceedings papers

  • Dervilis N (2020) Preface. Conference Proceedings of the Society for Experimental Mechanics Series (pp v) RIS download Bibtex download
  • C K, Stevanovic N, Cross EJ, Dervilis N, Worden K & Chandrasekhar K (2019) Gaussian Processes for Structural Health Monitoring of Wind Turbine Blades. 12th International Workshop on Structural Health Monitoring (pp 2744-2751). Stanford, California, USA, 10 September 2019 - 12 September 2019. RIS download Bibtex download
  • Dervilis N, Zhang T, Bull L, Cross EJ, Rogers TJ, Fuentes R, Dertimanis V, Abdallah I, Chatzi E & Worden K (2019) A nonlinear robust outlier detection approach for SHM. 8th IOMAC - International Operational Modal Analysis Conference, Proceedings (pp 107-114) View this article in WRRO RIS download Bibtex download
  • Haywood-Alexander M, Worden K, Barthorpe R, Fuentes R, Rogers T & Dervilis N (2019) Health monitoring of composite structures by combining ultrasonic wave data. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 1794-1804) RIS download Bibtex download
  • Jones MR, Rogers TJ, Dervilis N, Worden K & Cross EJ (2019) Assessing the likelihood of damage at the start of a structural health monitoring campaign. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 2321-2330) RIS download Bibtex download
  • Rooker T, Dervilis N, Stammers J, Worden K, Hammond P, Potts G, Brown T & Kerrigan K (2019) Predicting geometric tolerance thresholds in a five-axis machining centre. Structural Health Monitoring, Photogrammetry & DIC, Volume 6 (pp 93-100). Orlando, Florida, 12 February 2018 - 15 February 2018. View this article in WRRO RIS download Bibtex download
  • Bull L, Manson G, Worden K & Dervilis N (2019) Active Learning Approaches to Structural Health Monitoring (pp 157-159) RIS download Bibtex download
  • Abdessalem AB, Dervilis N, Wagg D & Worden K (2019) An Efficient Likelihood-Free Bayesian Computation for Model Selection and Parameter Estimation Applied to Structural Dynamics (pp 141-151) RIS download Bibtex download
  • Rooker T, Stammers J, Worden K, Potts G, Kerrigan K & Dervilis N (2019) Automated fault diagnosis with calibrated artefact probing. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 1 (pp 556-564) RIS download Bibtex download
  • Gonzaga PH, Dervilis N, Worden K, Barthorpe R, Stevanovic N & Bernhammer LO (2019) Structural health monitoring: A review of uncertainty quantifcation methods in wind turbine systems. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 2691-2701) RIS download Bibtex download
  • Bull LA, Worden K & Dervilis N (2019) Damage classification using labelled and unlabelled measurements. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 3251-3260) RIS download Bibtex download
  • Worden K, Dervilis N & Farrar C (2019) Applying the concept of complexity to structural health monitoring. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 3226-3234) RIS download Bibtex download
  • Bull LA, Dervilis N & Worden K (2019) Experimental validation of the population-form to represent nominally-identical systems. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 2331-2340) RIS download Bibtex download
  • Chandrasekhar K, Stevanovic N, Cross EJ, Dervilis N & Worden K (2019) Gaussian processes for structural health monitoring of wind turbine blades. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, Vol. 2 (pp 2710-2717) RIS download Bibtex download
  • Scott D, Simpson T, Dervilis N, Rogers T & Worden K (2018) Machine Learning for Energy Load Forecasting. Journal of Physics: Conference Series, Vol. 1106(1), 2 July 2018 - 4 July 2018. View this article in WRRO RIS download Bibtex download
  • Abdallah I, Dertimanis V, Mylonas H, Tatsis K, Chatzi E, Dervilis N, Worden K & Maguire E (2018) Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data. Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018 (pp 3053-3062) RIS download Bibtex download
  • Rogers TJ, Worden K, Fuentes R, Dervilis N, Tygesen UT & Cross EJ (2018) A semi-supervised bayesian non-parametric approach to damage detection. 9th European Workshop on Structural Health Monitoring, EWSHM 2018 RIS download Bibtex download
  • Bull LA, Worden K, Cross EJ & Dervilis N (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 RIS download Bibtex download
  • Walker S, Lord C, Dervilis N, Papatheou E & Worden K (2018) 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) RIS download Bibtex download
  • Fuentes R, Dervilis N, Tcherniak D, Worden K & Cross EJ (2018) 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) RIS download Bibtex download
  • ABDESSALEM A, Dervilis N, Wagg D & Worden K (2017) ABC-NS: a new computational inference method applied to parameter estimation and model selection in structural dynamics. 23 Congrès Français de Mécanique, 1 September 2017. View this article in WRRO RIS download Bibtex download
  • Bull LA, Worden K, Cross EJ & Dervilis N (2017) Is it worth changing pattern recognition methods for structural health monitoring?. Journal of Physics: Conference Series, Vol. 842 View this article in WRRO RIS download Bibtex download
  • Dervilis N, Cross EJ, Antoniadou I, Farrar CR, Worden K & IEEE (2017) Aspects of Computational Intelligence in Structural Dynamics: Structural Health Monitoring. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp 1677-1683) RIS download Bibtex download
  • Dervilis N, Cross EJ, Antoniadou I, Farrar CR & Worden K (2017) Aspects of computational intelligence in structural dynamics: Structural health monitoring. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 27 November 2017 - 1 December 2017. RIS download Bibtex download
  • Fuentes R, Cross EJ, Ray N, Dervilis N, Guo T & Worden K (2017) In-Process Monitoring of Automated Carbon Fibre Tape Layup Using Ultrasonic Guided Waves (pp 179-188) RIS download Bibtex download
  • Dervilis N, Maguire AE, Papatheou E & Worden K (2017) Wind Turbine Health Monitoring: Current and Future Trends with an Active Learning Twist (pp 119-129) RIS download Bibtex download
  • Papatheou E, Lord CE, Dervilis N, Wagg DJ & Worden K (2016) An exploratory study of the suitability of a wind turbine blade as a nonlinear demonstrator. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 4069-4080) View this article in WRRO RIS download Bibtex download
  • Ben Abdessalem A, Dervilis N, Wagg D & Worden K (2016) Identification of nonlinear dynamical systems using approximate Bayesian computation based on a sequential Monte Carlo sampler. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 2551-2565) View this article in WRRO RIS download Bibtex download
  • Dervilis N, Papatheou E, Antoniadou I, Cross EJ & Worden K (2016) On the usage of active learning for SHM. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 4033-4043) View this article in WRRO RIS download Bibtex download
  • Dervilis N, Shi H, Worden K & Cross EJ (2016) Exploring Environmental and Operational Variations in SHM Data Using Heteroscedastic Gaussian Processes (pp 145-153) RIS download Bibtex download
  • Dervilis N, Worden K, Wagg DJ & Neild SA (2016) Simplifying Transformations for Nonlinear Systems: Part I, An Optimisation-Based Variant of Normal Form Analysis (pp 315-320) View this article in WRRO RIS download Bibtex download
  • Dervilis N, Worden K, Wagg DJ & Neild SA (2016) Simplifying Transformations for Nonlinear Systems: Part II, Statistical Analysis of Harmonic Cancellation (pp 321-326) View this article in WRRO RIS download Bibtex download
  • Datteo A, Dervilis N, Barthorpe RJ, Cross EJ, Worden K, Busca G, Cigada A & Antoniadou I (2016) Experimental evaluation of environmental effects on a polymer-coated aluminium structure: A time-series analysis and pattern recognition approach. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 3295-3307) View this article in WRRO RIS download Bibtex download
  • Worden K, Cross EJ, Dervilis N, Papatheou E & Antoniadou I (2015) 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) RIS download Bibtex download
  • Papatheou E, Dervilis N, Maguire AE & Worden K (2014) 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) RIS download Bibtex download
  • Worden K, Dervilis N & Cross EJ (2014) 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) RIS download Bibtex download
  • Dervilis N, Wagg DJ, Green PL & Worden K (2014) Nonlinear modal analysis using pattern recognition. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 3017-3028) View this article in WRRO RIS download Bibtex download
  • Dervilis N, Barthorpe RJ & Worden K (2013) Auto-Association and Novelty Detection: Truths and Myths?. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 243-250) RIS download Bibtex download
  • Dervilis N, Barthorpe R, Antoniadou I & Worden K (2012) 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) RIS download Bibtex download
  • Antoniadou I, Manson G, Dervilis N, Barszcz T, Staszewski WJ & Worden K (2012) Use of the Teager-Kaiser 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 4255-4268) RIS download Bibtex download
  • Dervilis N, Choi M, Antoniadou I, Farinholt KM, Taylor SG, Barthorpe RJ, Park G, Worden K, Farrar CR & IOP (2012) 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 RIS download Bibtex download
  • Dervilis N, Barthorpe R, Staszewski WJ & Worden K (2012) 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) RIS download Bibtex download
  • Dervilis N, Barthorpe R, Antoniadou I, Staszewski WJ & Worden K (2012) 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 RIS download Bibtex download
  • Antoniadou I, Manson G, Dervilis N, Staszewski WJ & Worden K (2012) On damage detection in wind turbine gearboxes using outlier analysis. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8343 RIS download Bibtex download
  • PAPATHEOU EVANGELOS, DERVILIS NIKOLAOS, MAGUIRE EOGHAN, CAMPOS CARLES, ANTONIADOU IFIGENEIA & WORDEN KEITH () Extreme Function Theory for SHM: A Case Study for Wind Turbines. Structural Health Monitoring 2015 RIS download Bibtex download
  • PAPATHEOU EVANGELOS, DERVILIS NIKOLAOS, MAGUIRE EOGHAN, ANTONIADOU IFIGENEIA & WORDEN KEITH () Towards a Population-based SHM: A Case Study on an Offshore Wind Farm. Structural Health Monitoring 2015 RIS download Bibtex download
  • Bull L, Rogers T, Dervilis N, Cross E & Worden K () A Gaussian Process Form for Population-Based Structural Health Monitoring. DAMAS 2019 View this article in WRRO RIS download Bibtex download
  • CHANDRASEKHAR KARTIK, STEVANOVIC NEVENA, CORBETTA MATTEO, DERVILIS NIKOLAOS & WORDEN KEITH () On the Structural Health Monitoring of Operational Wind Turbine Blades. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017. View this article in WRRO RIS download Bibtex download

Presentations