Elizabeth J. Cross

Best Publications

• Long-term monitoring and data analysis of the Tamar Bridge

  E.J. Cross;K.Y. Koo;J.M.W. Brownjohn;K. Worden

  454
  Citations

• Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data

  Elizabeth J. Cross;Keith Worden;Qian Chen

  280
  Citations

• Features for damage detection with insensitivity to environmental and operational variations

  Elizabeth Cross;Graham Manson;Keith Worden;Stephen Pierce

  162
  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

• Improving aircraft performance using machine learning: A review

  Unknown

  147
  Citations

• On switching response surface models, with applications to the structural health monitoring of bridges

  K. Worden;E.J. Cross

  123
  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

• Linear approaches to modeling nonlinearities in long-term monitoring of bridges

  Unknown

  80
  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

• A multiresolution approach to cointegration for enhanced SHM of structures under varying conditions – An exploratory study

  K. Worden;E.J. Cross;I. Antoniadou;A. Kyprianou

  68
  Citations

• A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring

  Haichen Shi;Keith Worden;Elizabeth J. Cross

  66
  Citations

• Prediction of Landing Gear Loads Using Machine Learning Techniques

  Geoffrey K T Holmes;Pia N Sartor;Stephen Reed;Paul J D Southern

  65
  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 the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification

  T.J. Rogers;K. Worden;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

• Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling

  R. Fuentes;R.S. Dwyer-Joyce;M.B. Marshall;J. Wheals

  59
  Citations