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Matteo Vagnoli
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Year
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
692018
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
182016
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
182015
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
162015
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
92017
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
72015
A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection
M Vagnoli, R Remenyte-Prescott, J Andrews
62017
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
42018
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
42017
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
32018
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
32018
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
22017
Railway bridge fault detection using Bayesian belief network
M Vagnoli, R Remenyte-Prescott, J Andrews
22017
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
12021
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
12019
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
12018
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
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