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Matthew R Jones
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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
452022
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
322022
Constraining Gaussian processes for physics-informed acoustic emission mapping
MR Jones, TJ Rogers, EJ Cross
Mechanical Systems and Signal Processing 188, 109984, 2023
92023
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature
JH Mclean, MR Jones, BJ O’Connell, E Maguire, TJ Rogers
Structural Health Monitoring 22 (6), 3623-3636, 2023
52023
Constraining Gaussian processes for grey-box acoustic emission source localisation
MR Jones, TJ Rogers, PA Gardner, EJ Cross
Proceedings of the 29th international conference on noise and vibration …, 2020
52020
Heteroscedastic Gaussian processes for localising acoustic emission
MR Jones, TJ Rogers, K Worden, EJ Cross
Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022
42022
Bayesian localisation of acoustic emission sources for wind turbine bearings
MR Jones, TJ Rogers, IE Martinez, EJ Cross
Health monitoring of structural and biological systems XV 11593, 443-453, 2021
42021
On Novel Machine Learning Approaches for Acoustic Emission Source Localisation: A Probabilistic Perspective
MR Jones
University of Sheffield, 2023
32023
A spectrum of physics-informed Gaussian processes for regression in engineering
EJ Cross, TJ Rogers, DJ Pitchforth, SJ Gibson, S Zhang, MR Jones
Data-Centric Engineering 5, e8, 2024
22024
Encoding domain expertise into multilevel models for source location
LA Bull, MR Jones, EJ Cross, A Duncan, M Girolami
arXiv preprint arXiv:2305.08657, 2023
22023
Physical covariance functions for dynamic systems with time-dependent parameters
MR Jones, TJ Rogers, EJ Cross
European Workshop on Structural Health Monitoring, 381-391, 2022
22022
A probabilistic approach for acoustic emission based monitoring techniques: with application to structural health monitoring
CA Lindley, MR Jones, TJ Rogers, EJ Cross, RS Dwyer-Joyce, N Dervilis, ...
Mechanical Systems and Signal Processing 208, 110958, 2024
12024
Assessing the likelihood of damage at the start of a structural health monitoring campaign
MR Jones, TJ Rogers, N Dervilis, K Worden, EJ Cross
Structural Health Monitoring 2019, 2019
12019
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods
M Haywood-Alexander, RS Mills, MD Champneys, MR Jones, MS Bonney, ...
Journal of Sound and Vibration 576, 118295, 2024
2024
Acoustic Emission Source Location Using Bayesian Optimisation for a Composite Helicopter Blade
CA LINDLEY, MR JONES, TA DARDENO, RS MILLS, N DERVILIS, ...
STRUCTURAL HEALTH MONITORING 2023, 2023
2023
Partially Structured Gaussian Processes for Grey-Box Learning in SHM
MR JONES, DJ PITCHFORTH, EJ CROSS
STRUCTURAL HEALTH MONITORING 2023, 2023
2023
Bayesian Changepoint Modelling for Reference-Free Damage Detection with Acoustic Emission Data
RE Scott, MR Jones, TJ Rogers
European Workshop on Structural Health Monitoring, 462-471, 2022
2022
A nonparametric Bayesian approach for the detection of acoustic emission events in time series signals
CA Lindley, MR Jones, TJ Rogers, RS Dwyer-Joyce, N Dervilis, K Worden
Proceedings of ISMA 2022-International Conference on Noise and Vibration …, 2022
2022
Enhanced uncertainty quantification for acoustic emission localisation
MR Jones, TJ Rogers, K Worden, EJ Cross
Proceedings of ISMA 2022-International Conference on Noise and Vibration …, 2022
2022
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