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Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems (2023)
Conference Proceeding
Badmus, T. A., Prescott, D., & Remenyte-Prescott, R. (2023). Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems.

The existing Generalised Stochastic Petri Net and modified Bayesian Stochastic Petri Net (GSPN-mBSPN) methodology has demonstrated improved modelling capabilities for fault diagnosis in dynamic systems with feedback control loops. However, the GSPN-m... Read More about Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems.

A general approach for evaluating SHM system reliability with sensor failures (2023)
Conference Proceeding
Wu, W., Cantero-Chinchilla, S., Remenyte-Prescot, R., Prescott, D., Saleh, A., Chiachio Ruano, M., & Chronopoulos, D. (2023). A general approach for evaluating SHM system reliability with sensor failures.

Structural health monitoring (SHM) systems involve implementing damage identification strategies to determine health states of structures. However, it is important to pay close attention to the degradation of the SHM itself, especially the effect of... Read More about A general approach for evaluating SHM system reliability with sensor failures.

Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades (2022)
Conference Proceeding
Wu, W., Saleh, A., Remenyte-Prescott, R., Prescott, D., Ruano, M. C., & Chronopoulos, D. (2022). Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades. In Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (1385-1392). https://doi.org/10.3850/978-981-18-5183-4_R22-24-242-cd

Optimal asset management strategies for wind turbine blades help to reduce their operation and maintenance costs, and ensure their reliability and safety. Structural health monitoring (SHM) can determine the health state of wind turbine blades throug... Read More about Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades.

Modelling adaptive systems using plausible Petri nets (2018)
Conference Proceeding
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018). Modelling adaptive systems using plausible Petri nets. In 8th International Workshop on Reliable Engineering Computing, “ Computing with Confidence ”

One of the main challenges when analyzing and modelling complex systems using Petri nets is to deal with uncertain information, and moreover, to be able to use such uncertainty to dynamically adapt the modelled system to uncertain (changing) contextu... Read More about Modelling adaptive systems using plausible Petri nets.

A Bayesian assessment for railway track geometry degradation prognostics (2018)
Conference Proceeding
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018). A Bayesian assessment for railway track geometry degradation prognostics. In Proceedings of the 4th European Conference of the Prognostics and Health Management Society

Advanced PHM techniques have the potential to substantially reduce railway track maintenance costs while increasing safety and availability. However, there is still a significant lack of knowledge and experience in relation to suitable PHM models and... Read More about A Bayesian assessment for railway track geometry degradation prognostics.

A reliability-based prognostics framework for railway track management (2017)
Conference Proceeding
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2017). A reliability-based prognostics framework for railway track management.

Railway track geometry deterioration due to traffic loading is a complex problem with important implications in cost and safety. Without appropriate maintenance, track deterioration can lead to severe speed restrictions or disruptions, and in extreme... Read More about A reliability-based prognostics framework for railway track management.

An information theoretic approach for knowledge representation using Petri nets (2016)
Conference Proceeding
Chiachío, M., Chiachío, J., Prescott, D., & Andrews, J. (2016). An information theoretic approach for knowledge representation using Petri nets.

A new hybrid approach for Petri nets (PNs) is proposed in this paper by combining the PNs principles with the foundations of information theory for knowledge representation. The resulting PNs have been named Plausible Petri nets (PPNs) mainly because... Read More about An information theoretic approach for knowledge representation using Petri nets.

Modelling the effects of asset management decisions on a railway track section (2014)
Conference Proceeding
Prescott, D., & Andrews, J. D. (in press). Modelling the effects of asset management decisions on a railway track section. In Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance. https://doi.org/10.4203/ccp.104.166

This paper reports on the development of a Markov model that uses real-world deterioration, inspection and maintenance data to assess railway track asset management. The model allows both asset management personnel and track maintenance engineers to... Read More about Modelling the effects of asset management decisions on a railway track section.

Identifying the factors influencing track degradation on the UK rail network
Conference Proceeding
Clarke, S., & Prescott, D. (2017). Identifying the factors influencing track degradation on the UK rail network.

As trains traverse track, the smoothness of its vertical geometry decreases. This degradation is linked to many interrelated factors, making it difficult to identify the primary causes. Through the use of multiple layer analysis, each factor was indi... Read More about Identifying the factors influencing track degradation on the UK rail network.