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Elizabeth Cross
Elizabeth Cross
Professor, University of Sheffield
Подтвержден адрес электронной почты в домене sheffield.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
Long-term monitoring and data analysis of the Tamar Bridge
EJ Cross, KY Koo, JMW Brownjohn, K Worden
Mechanical Systems and Signal Processing 35 (1-2), 16-34, 2013
4792013
Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data
EJ Cross, K Worden, Q Chen
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2011
2912011
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
1692015
Features for damage detection with insensitivity to environmental and operational variations
EJ Cross, G Manson, K Worden, SG Pierce
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2012
1612012
Foundations of population-based SHM, Part I: Homogeneous populations and forms
LA Bull, PA Gardner, J Gosliga, TJ Rogers, N Dervilis, EJ Cross, ...
Mechanical systems and signal processing 148, 107141, 2021
1602021
On switching response surface models, with applications to the structural health monitoring of bridges
K Worden, EJ Cross
Mechanical Systems and Signal Processing 98, 139-156, 2018
1242018
Improving aircraft performance using machine learning: A review
S Le Clainche, E Ferrer, S Gibson, E Cross, A Parente, R Vinuesa
Aerospace Science and Technology 138, 108354, 2023
1082023
A Bayesian non-parametric clustering approach for semi-supervised structural health monitoring
TJ Rogers, K Worden, R Fuentes, N Dervilis, UT Tygesen, E Cross
Mechanical Systems and Signal Processing 119, 100-119, 2018
942018
Linear approaches to modeling nonlinearities in long-term monitoring of bridges
E Figueiredo, E Cross
Journal of Civil Structural Health Monitoring 3, 187-194, 2013
912013
Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian process regression
TJ Rogers, P Gardner, N Dervilis, K Worden, AE Maguire, E Papatheou, ...
Renewable Energy 148, 1124-1136, 2020
892020
Prediction of landing gear loads using machine learning techniques
G Holmes, P Sartor, S Reed, P Southern, K Worden, E Cross
Structural Health Monitoring 15 (5), 568-582, 2016
792016
Probabilistic active learning: an online framework for structural health monitoring
LA Bull, TJ Rogers, C Wickramarachchi, EJ Cross, K Worden, N Dervilis
Mechanical Systems and Signal Processing 134, 106294, 2019
752019
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
752014
Machine learning at the interface of structural health monitoring and non-destructive evaluation
P Gardner, R Fuentes, N Dervilis, C Mineo, SG Pierce, EJ Cross, ...
Philosophical Transactions of the Royal Society A 378 (2182), 20190581, 2020
732020
A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring
H Shi, K Worden, EJ Cross
Mechanical Systems and Signal Processing 103, 381-397, 2018
702018
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
682018
Artificial neural networks
K Worden, G Tsialiamanis, EJ Cross, TJ Rogers
Machine learning in modeling and simulation: Methods and applications, 85-119, 2023
672023
A multiresolution approach to cointegration for enhanced SHM of structures under varying conditions–an exploratory study
K Worden, EJ Cross, I Antoniadou, A Kyprianou
Mechanical Systems and Signal Processing 47 (1-2), 243-262, 2014
672014
A Bayesian methodology for localising acoustic emission sources in complex structures
MR Jones, TJ Rogers, K Worden, EJ Cross
Mechanical Systems and Signal Processing 163, 108143, 2022
652022
Damage detection in operational wind turbine blades using a new approach based on machine learning
K Chandrasekhar, N Stevanovic, EJ Cross, N Dervilis, K Worden
Renewable Energy 168, 1249-1264, 2021
642021
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Статьи 1–20