Outputs (53)

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.

Evaluation of a community pharmacy dispensing process using a coloured Petri Net (2018)
Book Chapter
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2018). Evaluation of a community pharmacy dispensing process using a coloured Petri Net. In S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik, & J. E. Vinnem (Eds.), Safety and Reliability : Safe Societies in a Changing World : Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway (2059-2066). CRC Press. https://doi.org/10.1201/9781351174664-259

UK customers visited community pharmacies to receive NHS prescriptions 1.104 billion times in 2016. One study of dispensing errors found an error rate of 3.3%. Severe dispensing inaccuracies often receive a high level of media attention, however, low... Read More about Evaluation of a community pharmacy dispensing process using a coloured Petri Net.

Two probabilistic life-cycle maintenance models for the deteriorating pavement (2018)
Journal Article
Cheng, Z., & Remenyte-Prescott, R. (2018). Two probabilistic life-cycle maintenance models for the deteriorating pavement. Eksploatacja i Niezawodnosc, 20(3), 394-404. https://doi.org/10.17531/ein.2018.3.7

© 2018, Polish Academy of Sciences Branch Lublin. All rights reserved. Pavement maintenance management poses a significant challenge for highway agencies in terms of pavement deterioration over time and limited financial resources to keep the road co... Read More about Two probabilistic life-cycle maintenance models for the deteriorating pavement.

A Petri Net-based life cycle cost analysis approach (2018)
Journal Article
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. (2019). A Petri Net-based life cycle cost analysis approach. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 233(1), 90-102. https://doi.org/10.1177/0954409718780106

Railway infrastructure providers, such as Network Rail, who owns and manages the British railway infrastructure, can improve the performance and reduce the life cycle cost of their assets through delivering effective asset management. Having the capa... Read More about A Petri Net-based life cycle cost analysis approach.

A data mining tool for detecting and predicting abnormal behaviour of railway tunnels (2017)
Presentation / Conference Contribution
Vagnoli, M., Remenyte-Prescott, R., Thompson, D., Andrews, J., Clarke, P., & Atkinson, N. A data mining tool for detecting and predicting abnormal behaviour of railway tunnels. Presented at 11th International Workshop on Structural Health Monitoring (IWSHM 2017)

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.

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)
Presentation / Conference Contribution
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. Towards a real-time Structural Health Monitoring of railway bridges. Presented at 52nd ESReDA Seminar on Critical Infrastructures Enhancing Preparedness & Resilience for the security of citizens and services supply continuity

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 sensor selection method for fault diagnostics (2017)
Book Chapter
Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2017). A sensor selection method for fault diagnostics. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

In the modern world, systems are becoming increasingly complex, consisting of large numbers of components and their failures. In order to monitor system performance and to detect faults and diagnose failures, sensors can be used. However, using senso... Read More about A sensor selection method for fault diagnostics.

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)
Presentation / Conference Contribution
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. Railway bridge fault detection using Bayesian belief network. Presented at Stephenson Conference: Research for Railways

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.