| A probabilistic risk-based decision framework for structural health monitoring AJ Hughes, RJ Barthorpe, N Dervilis, CR Farrar, K Worden Mechanical Systems and Signal Processing 150, 107339, 2021 | 65 | 2021 |
| On risk-based active learning for structural health monitoring AJ Hughes, LA Bull, P Gardner, RJ Barthorpe, N Dervilis, K Worden Mechanical Systems and Signal Processing 167, 108569, 2022 | 44 | 2022 |
| Towards the development of an operational digital twin P Gardner, M Dal Borgo, V Ruffini, AJ Hughes, Y Zhu, DJ Wagg Vibration 3 (3), 235-265, 2020 | 42 | 2020 |
| On robust risk-based active-learning algorithms for enhanced decision support AJ Hughes, LA Bull, P Gardner, N Dervilis, K Worden Mechanical Systems and Signal Processing 181, 109502, 2022 | 17 | 2022 |
| Towards the development of a digital twin for structural dynamics applications P Gardner, M Dal Borgo, V Ruffini, Y Zhu, A Hughes Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 11 | 2020 |
| A forward model driven structural health monitoring paradigm: Damage detection RJ Barthorpe, AJ Hughes, P Gardner Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2022 | 10 | 2022 |
| Quantifying the value of information transfer in population-based SHM AJ Hughes, J Poole, N Dervilis, P Gardner, K Worden IMAC, A Conference and Exposition on Structural Dynamics, 19-31, 2024 | 5 | 2024 |
| Monitoring-supported value generation for managing structures and infrastructure systems A Kamariotis, E Chatzi, D Straub, N Dervilis, K Goebel, AJ Hughes, ... Data-Centric Engineering 5, e27, 2024 | 4 | 2024 |
| A decision framework for selecting information-transfer strategies in population-based SHM AJ Hughes, J Poole, N Dervilis, P Gardner, K Worden arXiv preprint arXiv:2307.06978, 2023 | 4 | 2023 |
| Quantifying the value of positive transfer: An experimental case study AJ Hughes, G Delo, J Poole, N Dervilis, K Worden arXiv preprint arXiv:2407.14342, 2024 | 2 | 2024 |
| Anomaly detection in offshore wind turbine structures using hierarchical bayesian modelling SM Smith, AJ Hughes, TA Dardeno, LA Bull, N Dervilis, K Worden arXiv preprint arXiv:2402.19295, 2024 | 2 | 2024 |
| Towards risk-informed pbshm: Populations as hierarchical systems AJ Hughes, P Gardner, K Worden Society for Experimental Mechanics Annual Conference and Exposition, 117-127, 2023 | 2 | 2023 |
| On health-state transition models for risk-based structural health monitoring AJ Hughes, RJ Barthorpe, K Worden Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A …, 2022 | 2 | 2022 |
| A risk-based active learning approach to inspection scheduling A Hughes, L Bull, P Gardner, R Barthorpe, N Dervilis, K Worden Proceedings of the 10th international conference on structural health …, 2021 | 2 | 2021 |
| Multitask learning for improved scour detection: A dynamic wave tank study SM Brealy, AJ Hughes, TA Dardeno, LA Bull, RS Mills, N Dervilis, ... arXiv preprint arXiv:2408.16527, 2024 | 1 | 2024 |
| On the influence of attributes for assessing similarity and sharing knowledge in heterogeneous populations of structures G Delo, AJ Hughes, C Surace, K Worden Available at SSRN 5006357, 2024 | 1 | 2024 |
| Physics-informed transfer learning in pbshm: a case study on experimental helicopter blades J Poole, P Gardner, AJ Hughes, RS MILLS, TA DARDENO, N DERVILIS, ... STRUCTURAL HEALTH MONITORING 2023, 2023 | 1 | 2023 |
| On risk-based decision-making for structural health monitoring AJ Hughes University of Sheffield, 2022 | 1 | 2022 |
| Partially supervised learning for data-driven structural health monitoring LA Bull, AJ Hughes, TJ Rogers, P Gardner, K Worden, N Dervilis Structural Health Monitoring Based on Data Science Techniques, 389-411, 2022 | 1 | 2022 |
| On an application of probabilistic risk assessment to structural health monitoring A HUGHES, K WORDEN, R BARTHORPE Structural Health Monitoring 2019, 2019 | 1 | 2019 |
Keith WordenUniversity of Sheffieldยืนยันอีเมลแล้วที่ sheffield.ac.uk