| 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 | 51 | 2021 |
| 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 | 31 | 2020 |
| 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 | 30 | 2022 |
| 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 | 10 | 2022 |
| 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 | 9 | 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 | 9 | 2020 |
| 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 |
| Quantifying the value of information transfer in population-based SHM AJ Hughes, J Poole, N Dervilis, P Gardner, K Worden arXiv preprint arXiv:2311.03083, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 |
| 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 | 1 | 2021 |
| On an application of probabilistic risk assessment to structural health monitoring A HUGHES, K WORDEN, R BARTHORPE Structural Health Monitoring 2019, 2019 | 1 | 2019 |
| 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 | | 2024 |
| Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems A Kamariotis, E Chatzi, D Straub, N Dervilis, K Goebel, AJ Hughes, ... arXiv preprint arXiv:2402.00021, 2024 | | 2024 |
| Sharing Information Between Machine Tools to Improve Surface Finish Forecasting DR Clarkson, LA Bull, TA Dardeno, CT Wickramarachchi, EJ Cross, ... arXiv preprint arXiv:2310.05807, 2023 | | 2023 |
| Physics-Informed Transfer Learning in PBSHM: A Case Study on Experimental Helicopter Blades J POOLE, P GARDNER, AJ HUGHES, RS MILLS, TA DARDENO, ... STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
| Mitigating sampling bias in risk-based active learning via an EM algorithm AJ Hughes, LA Bull, P Gardner, N Dervilis, K Worden arXiv preprint arXiv:2206.12598, 2022 | | 2022 |
| Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers AJ Hughes, P Gardner, LA Bull, N Dervilis, K Worden arXiv preprint arXiv:2206.11616, 2022 | | 2022 |
| On risk-based decision-making for structural health monitoring AJ Hughes University of Sheffield, 2022 | | 2022 |
Keith WordenUniversity of SheffieldVerified email at sheffield.ac.uk
