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Plausible petri nets as self-adaptive expert systems: a tool for infrastructure asset monitoring (2018)
Journal Article
Chiachío, M., Chiachío, J., Prescott, D., & Andrews, J. (2019). Plausible petri nets as self-adaptive expert systems: a tool for infrastructure asset monitoring. Computer-Aided Civil and Infrastructure Engineering, 34(4), 281-298. https://doi.org/10.1111/mice.12427

This paper provides a computational framework to model self-adaptive expert systems using the Petri net (PN) formalism. Self-adaptive expert systems are understood here as expert systems with the ability to autonomously learn from external inputs, li... Read More about Plausible petri nets as self-adaptive expert systems: a tool for infrastructure asset monitoring.

Sensor selection for fault diagnostics using performance metric (2018)
Journal Article
Andrews, J., Reeves, J., Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2018). Sensor selection for fault diagnostics using performance metric. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 537-552. https://doi.org/10.1177/1748006X18804690

As technology advances, modern systems are becoming increasingly complex, consisting of large numbers of components, and therefore large numbers of potential component failures. These component failures can result in reduced system performance, or ev... Read More about Sensor selection for fault diagnostics using performance metric.

A sensor selection method using a performance metric for phased missions of aircraft fuel systems (2018)
Journal Article
Reeves, J., Remenyte-Prescott, R., Andrews, J., & Thorley, P. (2018). A sensor selection method using a performance metric for phased missions of aircraft fuel systems. Reliability Engineering and System Safety, https://doi.org/10.1016/j.ress.2018.07.029

Component failures in complex systems, such as aircraft fuel systems, can have catastrophic effects on system performance. There are a large number of components in these systems, each with a number of different failure modes, some of which can cause... Read More about A sensor selection method using a performance metric for phased missions of aircraft fuel systems.

A knowledge-based prognostics framework for railway track geometry degradation (2018)
Journal Article
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2019). A knowledge-based prognostics framework for railway track geometry degradation. Reliability Engineering and System Safety, 181, 127-141. https://doi.org/10.1016/j.ress.2018.07.004

This paper proposes a paradigm shift to the problem of infrastructure asset management modelling by focusing towards forecasting the future condition of the assets instead of using empirical modelling approaches based on historical data. The proposed... Read More about A knowledge-based prognostics framework for railway track geometry degradation.

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 new paradigm for uncertain knowledge representation by Plausible Petri nets (2018)
Journal Article
Chiachío, M., Chiachío, J., Prescott, D., & Andrews, J. (2018). A new paradigm for uncertain knowledge representation by Plausible Petri nets. Information Sciences, 453, https://doi.org/10.1016/j.ins.2018.04.029

This paper presents a new model for Petri nets (PNs) which combines PN principles with the foundations of information theory for uncertain knowledge representation. The resulting framework has been named Plausible Petri nets (PPNs). The main feature... Read More about A new paradigm for uncertain knowledge representation by Plausible Petri nets.