Dr Nikolaos Dervilis

BSc, MSc, PhD

Nikos DervilisLecturer

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 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

Conference proceedings papers

  • Bull L, Manson G, Worden K & Dervilis N (2019) Active Learning Approaches to Structural Health Monitoring. Conference Proceedings of the Society for Experimental Mechanics Series (pp 157-159). Cham 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. Conference Proceedings of the Society for Experimental Mechanics Series (pp 141-151). Cham 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. Conference Proceedings of the Society for Experimental Mechanics Series (pp 93-100). Cham RIS download Bibtex download
  • Dervilis N, Cross EJ, Antoniadou I, Farrar CR & Worden K (2018) Aspects of computational intelligence in structural dynamics: Structural health monitoring. 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, Vol. 2018-January (pp 1-7) 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, Maguire AE, Papatheou E & Worden K (2017) Wind turbine health monitoring: Current and future trends with an active learning twist. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 8B (pp 119-129) 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. SPECIAL TOPICS IN STRUCTURAL DYNAMICS, VOL 6 (pp 179-188) 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, Papatheou E, Antoniadou I, Cross EJ & Worden K (2016) On the usage of active learning for SHM. Proceedings of ISMA2016 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. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 2 (pp 145-152) 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. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 1 (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. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 1 (pp 321-326) 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. IFAC-PapersOnLine, Vol. 28(21) (pp 1-17) RIS download Bibtex download
  • Papatheou E, Dervilis N, Maguire EA, Campos C, Antoniadou I & Worden K (2015) Extreme Function Theory for SHM: A Case Study for Wind Turbines. STRUCTURAL HEALTH MONITORING 2015: SYSTEM RELIABILITY FOR VERIFICATION AND IMPLEMENTATION, VOLS. 1 AND 2 (pp 2761-2768) RIS download Bibtex download
  • Papatheou E, Dervilis N, Maguire EA, Antoniadou I & Worden K (2015) Towards a Population-based SHM: A case study on an offshore wind farm. Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015, Vol. 2 (pp 465-472) 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 ISMA2014 (pp 3017-3027) 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
  • Chandrasekhar , Stevanovic N, Corbetta M, Dervilis N & Worden () On the structural health monitoring of operational wind turbine blades. IWSHM, Stanford, 2017 View this article in WRRO RIS download Bibtex download
  • ABDESSALEM A, Dervilis N, wagg D & Worden K () 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
  • papatheou , lord , Dervilis N, wagg & worden () An exploratory study of the suitability of a wind turbine blade as a nonlinear demonstrator. ISMA2016 View this article in WRRO RIS download Bibtex download
  • Abdessalem , Dervilis N, Wagg & worden () Identification of nonlinear dynamical systems using approximate Bayesian computation based on a sequential Monte Carlo sampler. ISMA2016 View this article in WRRO RIS download Bibtex download
  • Dervilis N, Worden , antoniadou , cross , Barthorpe , Alessio Datteo , Giorgio Busca & Alfredo Cigada () Experimental evaluation of environmental effects on a polymer-coated aluminium structure: a time-series analysis and pattern recognition approach. ISMA2016 View this article in WRRO RIS download Bibtex download

Presentations