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Tim Rogers
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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
1092021
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
852019
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
772020
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
642019
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
612018
On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification
TJ Rogers, K Worden, EJ Cross
Mechanical Systems and Signal Processing 140, 106580, 2020
492020
Artificial neural networks
K Worden, G Tsialiamanis, EJ Cross, TJ Rogers
Machine Learning in Modeling and Simulation: Methods and Applications, 85-119, 2023
472023
On the confidence bounds of Gaussian process NARX models and their higher-order frequency response functions
K Worden, WE Becker, TJ Rogers, EJ Cross
Mechanical Systems and Signal Processing 104, 188-223, 2018
462018
On a grey box modelling framework for nonlinear system identification
TJ Rogers, GR Holmes, EJ Cross, K Worden
Special Topics in Structural Dynamics, Volume 6: Proceedings of the 35th …, 2017
452017
Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint
R Fuentes, R Nayek, P Gardner, N Dervilis, T Rogers, K Worden, ...
Mechanical Systems and Signal Processing 154, 107528, 2021
442021
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
412022
State-of-the-art and future directions for predictive modelling of offshore structure dynamics using machine learning
UT Tygesen, K Worden, T Rogers, G Manson, EJ Cross
Dynamics of Civil Structures, Volume 2: Proceedings of the 36th IMAC, A …, 2019
372019
Grey-box models for wave loading prediction
DJ Pitchforth, TJ Rogers, UT Tygesen, EJ Cross
Mechanical Systems and Signal Processing 159, 107741, 2021
352021
Physics-Informed Machine Learning for Structural Health Monitoring
EJ Cross, SJ Gibson, MR Jones, DJ Pitchforth, S Zhang, TJ Rogers
Structural Health Monitoring Based on Data Science Techniques, 347-367, 2022
312022
Structured machine learning tools for modelling characteristics of guided waves
M Haywood-Alexander, N Dervilis, K Worden, EJ Cross, RS Mills, ...
Mechanical Systems and Signal Processing 156, 107628, 2021
232021
Machine learning for energy load forecasting
D Scott, T Simpson, N Dervilis, T Rogers, K Worden
Journal of Physics: Conference Series 1106 (1), 012005, 2018
212018
Learning model discrepancy: A Gaussian process and sampling-based approach
P Gardner, TJ Rogers, C Lord, RJ Barthorpe
Mechanical Systems and Signal Processing 152, 107381, 2021
202021
Towards Bayesian System Identification: With Application to SHM of Offshore Structures
TJ Rogers
University of Sheffield, 2019
192019
Physics-derived covariance functions for machine learning in structural dynamics
EJ Cross, TJ Rogers
IFAC-PapersOnLine 54 (7), 168-173, 2021
182021
Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis
R Fuentes, P Gardner, C Mineo, TJ Rogers, SG Pierce, K Worden, ...
Mechanical Systems and Signal Processing 145, 106897, 2020
182020
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