Nikolaos Dervilis
Nikolaos Dervilis
University of Sheffield, Dynamics Research Group, Sheffield, UK
Verified email at sheffield.ac.uk - Homepage
Title
Cited by
Cited by
Year
On damage diagnosis for a wind turbine blade using pattern recognition
N Dervilis, M Choi, SG Taylor, RJ Barthorpe, G Park, CR Farrar, K Worden
Journal of sound and vibration 333 (6), 1833-1850, 2014
982014
On robust regression analysis as a means of exploring environmental and operational conditions for SHM data
N Dervilis, K Worden, EJ Cross
Journal of Sound and Vibration 347, 279-296, 2015
812015
A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview
KM Holford, MJ Eaton, JJ Hensman, R Pullin, SL Evans, N Dervilis, ...
Progress in Aerospace Sciences 90, 1-11, 2017
422017
Aspects of structural health and condition monitoring of offshore wind turbines
I Antoniadou, N Dervilis, E Papatheou, AE Maguire, K Worden
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015
412015
Robust methods of inclusive outlier analysis for structural health monitoring
N Dervilis, EJ Cross, RJ Barthorpe, K Worden
Journal of Sound and Vibration 333 (20), 5181-5195, 2014
382014
A performance monitoring approach for the novel Lillgrund offshore wind farm
E Papatheou, N Dervilis, AE Maguire, I Antoniadou, K Worden
IEEE Transactions on Industrial Electronics 62 (10), 6636-6644, 2015
302015
Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data
I Abdallah, V Dertimanis, H Mylonas, K Tatsis, E Chatzi, N Dervilis, ...
Safety and Reliability–Safe Societies in a Changing World, 3053-3061, 2018
262018
Model selection and parameter estimation in structural dynamics using approximate Bayesian computation
AB Abdessalem, N Dervilis, D Wagg, K Worden
Mechanical Systems and Signal Processing 99, 306-325, 2018
232018
On evolutionary system identification with applications to nonlinear benchmarks
K Worden, RJ Barthorpe, EJ Cross, N Dervilis, GR Holmes, G Manson, ...
Mechanical Systems and Signal Processing 112, 194-232, 2018
192018
Performance monitoring of a wind turbine using extreme function theory
E Papatheou, N Dervilis, AE Maguire, C Campos, I Antoniadou, K Worden
Renewable Energy 113, 1490-1502, 2017
162017
Structural health monitoring: from structures to systems-of-systems
K Worden, EJ Cross, N Dervilis, E Papatheou, I Antoniadou
IFAC-papersonline 48 (21), 1-17, 2015
142015
A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring
TJ Rogers, K Worden, R Fuentes, N Dervilis, UT Tygesen, EJ Cross
Mechanical Systems and Signal Processing 119, 100-119, 2019
132019
Active learning for semi-supervised structural health monitoring
L Bull, K Worden, G Manson, N Dervilis
Journal of Sound and Vibration 437, 373-388, 2018
132018
Novelty detection applied to vibration data from a CX-100 wind turbine blade under fatigue loading
N Dervilis, M Choi, I Antoniadou, KM Farinholt, SG Taylor, RJ Barthorpe, ...
Journal of Physics-Conference Series 382 (1), 012047, 2012
132012
Wind turbine structural health monitoring: a short investigation based on SCADA data
E Papatheou, N Dervilis, E Maguire, K Worden
122014
Condition monitoring of a wind turbine gearbox using the empirical mode decomposition method and outlier analysis
I Antoniadou, G Manson, N Dervilis, T Barszcz, W Staszewski, K Worden
Sixth European Workshop on Structural Health Monitoring, Dresden, Germany 3 (6), 2012
112012
Automatic kernel selection for gaussian processes regression with approximate bayesian computation and sequential monte carlo
AB Abdessalem, N Dervilis, DJ Wagg, K Worden
Frontiers in Built Environment 3, 52, 2017
102017
Exploring environmental and operational variations in SHM data using heteroscedastic Gaussian processes
N Dervilis, H Shi, K Worden, EJ Cross
Dynamics of Civil Structures, Volume 2, 145-153, 2016
92016
Machine learning applications for a wind turbine blade under continuous fatigue loading
N Dervilis, M Choi, I Antoniadou, KM Farinholt, SG Taylor, RJ Barthorpe, ...
Key Engineering Materials 588, 166-174, 2014
92014
A machine learning approach to structural health monitoring with a view towards wind turbines
N Dervilis
University of Sheffield, 2013
92013
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Articles 1–20