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Number of items: 6. 2019Vagnoli, Matteo (2019) Railway bridge condition monitoring and fault diagnostics. PhD thesis, University of Nottingham. 2018Vagnoli, Matteo, Remenyte-Prescott, Rasa and Andrews, John (2018) Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges. Structural Health Monitoring, 17 (4). pp. 971-1007. ISSN 1741-3168 2017Vagnoli, Matteo, Remenyte-Prescott, Rasa, Thompson, Daniel, Andrews, John, Clarke, Paul and Atkinson, Neil (2017) A data mining tool for detecting and predicting abnormal behaviour of railway tunnels. In: 11th International Workshop on Structural Health Monitoring (IWSHM 2017), 12-14 Sept 2017, Stanford, California, USA. Vagnoli, Matteo, Di Maio, Francesco and Zio, Enrico (2017) Ensembles of climate change models for risk assessment of nuclear power plants. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability . ISSN 1748-006X Vagnoli, Matteo, Remenyte-Prescott, Rasa and Andrews, John (2017) Towards a real-time Structural Health Monitoring of railway bridges. In: 52nd ESReDA Seminar on Critical Infrastructures Enhancing Preparedness & Resilience for the security of citizens and services supply continuity., 30-31 May 2017, Kaunas, Lithuania. Vagnoli, Matteo, Remenyte-Prescott, Rasa and Andrews, John (2017) A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection. In: Safety and Reliability – Theory and Application: ESREL 2017. CRC Press. ISBN 9781138629370 |
