Nikolaos Dervilis

Best Publications

• On damage diagnosis for a wind turbine blade using pattern recognition

  N. Dervilis;M. Choi;S.G. Taylor;R.J. Barthorpe

  187
  Citations

• Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer

  P. Gardner;L.A. Bull;J. Gosliga;N. Dervilis

  161
  Citations

• On robust regression analysis as a means of exploring environmental and operational conditions for SHM data

  N. Dervilis;K. Worden;E.J. Cross

  156
  Citations

• Foundations of population-based SHM, Part I : homogeneous populations and forms

  L.A. Bull;P.A. Gardner;J. Gosliga;T.J. Rogers

  154
  Citations

• Foundations of population-based SHM, part II : heterogeneous populations – graphs, networks, and communities

  J. Gosliga;P.A. Gardner;L.A. Bull;N. Dervilis

  147
  Citations

• A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview

  Karen Margaret Holford;Mark Jonathan Eaton;James J. Hensman;Rhys Pullin

  117
  Citations

• Aspects of structural health and condition monitoring of offshore wind turbines.

  I. Antoniadou;N. Dervilis;E. Papatheou;A. E. Maguire

  106
  Citations

• Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression

  T.J. Rogers;P. Gardner;N. Dervilis;K. Worden

  90
  Citations

• A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring

  T.J. Rogers;K. Worden;R. Fuentes;N. Dervilis

  83
  Citations

• A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm

  Evangelos Papatheou;Nikolaos Dervilis;Andrew Eoghan Maguire;Ifigeneia Antoniadou

  83
  Citations

• Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

  Anis Ben Abdessalem;Nikolaos Dervilis;David Wagg;Keith Worden

  75
  Citations

• Active learning for semi-supervised structural health monitoring

  L.A. Bull;K. Worden;G. Manson;N. Dervilis

  73
  Citations

• Damage detection in operational wind turbine blades using a new approach based on machine learning

  Kartik Chandrasekhar;Nevena Stevanovic;Elizabeth J. Cross;Nikolaos Dervilis

  71
  Citations

• On the transfer of damage detectors between structures: an experimental case study

  L.A. Bull;P.A. Gardner;N. Dervilis;E. Papatheou

  66
  Citations

• Towards semi-supervised and probabilistic classification in structural health monitoring

  L.A. Bull;K. Worden;N. Dervilis

  64
  Citations

• Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint

  R. Fuentes;R. Nayek;P. Gardner;N. Dervilis

  64
  Citations

• Probabilistic active learning : an online framework for structural health monitoring

  L.A. Bull;T.J. Rogers;C. Wickramarachchi;E.J. Cross

  61
  Citations

• On evolutionary system identification with applications to nonlinear benchmarks

  K. Worden;R.J. Barthorpe;E.J. Cross;N. Dervilis

  60
  Citations

• Robust methods of inclusive outlier analysis for structural health monitoring

  N. Dervilis;E.J. Cross;R.J. Barthorpe;K. Worden

  60
  Citations

• Automatic kernel selection for Gaussian processes regression with approximate Bayesian computation and sequential Monte Carlo

  Anis Ben Abdessalem;Nikolaos Dervilis;David J. Wagg;Keith Worden

  57
  Citations