Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges M Vagnoli, R Remenyte-Prescott, J Andrews Structural Health Monitoring 17 (4), 971-1007, 2018 | 69 | 2018 |
Transient identification by clustering based on Integrated Deterministic and Probabilistic Safety Analysis outcomes F Di Maio, M Vagnoli, E Zio Annals of Nuclear Energy 87, 217-227, 2016 | 18 | 2016 |
Risk-based clustering for near misses identification in integrated deterministic and probabilistic safety analysis F Di Maio, M Vagnoli, E Zio Science and Technology of Nuclear Installations 2015, 2015 | 18 | 2015 |
A Bayesian ensemble of sensitivity measures for severe accident modeling SM Hoseyni, F Di Maio, M Vagnoli, E Zio, M Pourgol-Mohammad Nuclear Engineering and Design 295, 182-191, 2015 | 16 | 2015 |
Determination of prime implicants by differential evolution for the dynamic reliability analysis of non-coherent nuclear systems F Di Maio, S Baronchelli, M Vagnoli, E Zio Annals of Nuclear Energy 102, 91-105, 2017 | 9 | 2017 |
Evaluating the impact of climate change on the risk assessment of Nuclear Power Plants U Sahlin, F Di Maio, M Vagnoli, E Zio 25th European Safety and Reliability Conference, ESREL 2015, 2613-2621, 2015 | 7 | 2015 |
A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection M Vagnoli, R Remenyte-Prescott, J Andrews | 6 | 2017 |
An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures M Vagnoli, R Remenyte-Prescott Tunnelling and underground space technology 81, 68-82, 2018 | 4 | 2018 |
Structural Health Monitoring Developments in TRUSS Marie Sklodowska-Curie Innovative Training Network A González, F Huseynov, B Heitner, D Martinez, S Chen, EJ O'Brien, ... 8th International Conference on Structural Health Monitoring of Intelligent …, 2017 | 4 | 2017 |
A machine learning classifier for condition monitoring and damage detection of bridge infrastructure M Vagnoli, R Remenyte-Prescott, J Andrews Training in Reducing Uncertainty in Structural Safety 1, 53, 2018 | 3 | 2018 |
Ensembles of climate change models for risk assessment of nuclear power plants M Vagnoli, F Di Maio, E Zio Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2018 | 3 | 2018 |
Towards a real-time Structural Health Monitoring of railway bridges M Vagnoli, R Remenyte-Prescott, J Andrews The 52nd ESReDA Seminar On Critical Infrastructures: Enhancing Preparedness …, 2017 | 2 | 2017 |
Railway bridge fault detection using Bayesian belief network M Vagnoli, R Remenyte-Prescott, J Andrews | 2 | 2017 |
A Bayesian Belief Network method for bridge deterioration detection M Vagnoli, R Remenyte-Prescott, J Andrews Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2021 | 1 | 2021 |
Railway bridge condition monitoring and fault diagnostics M Vagnoli, R Remenyte-Prescott, J Andrews D5. 2 Final Report WP5-Rail and Road Infrastructure, 19, 2019 | 1 | 2019 |
TRUSS-ITN methods for detecting bridge damage from response to traffic A González, D Martínez, EJ O’Brien, M Casero, JJ Moughty, JR Casas, ... Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges …, 2018 | 1 | 2018 |
A data mining tool for detecting and predicting abnormal behaviour of railway tunnels M Vagnoli, R Remenyte-Prescott, D Thompson, J Andrews, P Clarke, ... | | 2017 |
Integrated deterministic and probabilistic safety analysis: innovative methods of risk based post-processing and on-line clustering M VAGNOLI Italy, 2014 | | 2014 |
Andrews, John (2017) Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges. Structural Health Monitoring. pp. 1-37 … M Vagnoli, R Remenyte-Prescott | | |
(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 … M Vagnoli, F Di Maio, E Zio | | |