Skip to main content

Research Repository

Advanced Search

All Outputs (9)

An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification (2022)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2022). An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification. Structural Control and Health Monitoring, 29(10), Article e3027. https://doi.org/10.1002/stc.3027

Large amounts of data are generated by structural health monitoring systems continuously. Data-driven methods can transform the available data into valuable information for decision makers. However, these methods for structural health monitoring of b... Read More about An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification.

A Bayesian Belief Network method for bridge deterioration detection (2020)
Journal Article
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2021). A Bayesian Belief Network method for bridge deterioration detection. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 235(3), 338-355. https://doi.org/10.1177/1748006X20979225

Bridges are one of the most important assets of transportation networks. A closure of a bridge can increase the vulnerability of the geographic area served by such networks, as it reduces the number of available routes. Condition monitoring and deter... Read More about A Bayesian Belief Network method for bridge deterioration detection.

An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures (2018)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2018). An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures. Tunnelling and Underground Space Technology, 81, 68-82. https://doi.org/10.1016/j.tust.2018.07.013

A large amount of data is generated by Structural Health Monitoring (SHM) systems and, as a consequence, processing and interpreting this data can be difficult and time consuming. Particularly, if work activities such as maintenance or modernization... Read More about An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures.

A data mining tool for detecting and predicting abnormal behaviour of railway tunnels (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., Thompson, D., Andrews, J., Clarke, P., & Atkinson, N. (2017). A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

The UK railway network is subjected to an electrification process that aims to electrify most of the network by 2020. This upgrade will improve the capacity, reliability and efficiency of the transportation system by providing cleaner, quicker and mo... Read More about A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

Ensembles of climate change models for risk assessment of nuclear power plants (2017)
Journal Article
Vagnoli, M., Di Maio, F., & Zio, E. (in press). 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, https://doi.org/10.1177/1748006X17734946

Climate change affects technical Systems, Structures and Infrastructures (SSIs), changing the environmental context for which SSI were originally designed. In order to prevent any risk growth beyond acceptable levels, the climate change effects must... Read More about Ensembles of climate change models for risk assessment of nuclear power plants.

Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges (2017)
Journal Article
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2018). Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges. Structural Health Monitoring, 17(4), https://doi.org/10.1177/1475921717721137

Railway importance in the transportation industry is increasing continuously, due to the growing demand of both passenger travel and transportation of goods. However, more than 35% of the 300,000 railway bridges across Europe are over 100-years old,... Read More about Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges.

Towards a real-time Structural Health Monitoring of railway bridges (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Towards a real-time Structural Health Monitoring of railway bridges.

More than 350,000 railway bridges are present on the European railway network, making them a key infrastructure of the whole railway network. Railway bridges are continuously exposed to changing environmental threats, such as wind, floods and traffic... Read More about Towards a real-time Structural Health Monitoring of railway bridges.

A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection (2017)
Book Chapter
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (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

More than 35% of the European railway bridges are over 100 years old and the increasing traffic loads are pushing the railway infrastructure to its limits. Bridge condition-monitoring strategies can help the railway industry to improve safety, availa... Read More about A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection.

Railway bridge fault detection using Bayesian belief network (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Railway bridge fault detection using Bayesian belief network.

Bridges are one of the most critical structures of the railway system. External loads may affect the bridge health state, and consequently their safety, availability and reliability can be improved by monitoring their condition and planning maintenan... Read More about Railway bridge fault detection using Bayesian belief network.