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Article

Vagnoli, 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

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

Conference or Workshop Item

Vagnoli, 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, 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.

Book Section

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

Thesis (University of Nottingham only)

Vagnoli, Matteo (2019) Railway bridge condition monitoring and fault diagnostics. PhD thesis, University of Nottingham.