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Outputs (10)

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.

Quantifying the impact of variability in railway bridge asset management (2018)
Presentation / Conference Contribution
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J. D., Tedstone, N., & Dean, R. Quantifying the impact of variability in railway bridge asset management. Presented at The Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018)

Bridge asset management is often a challenging and complicated task due to the diversity, multitude and variation of bridge configurations. Much research has been carried out in the field of asset management which has resulted in a wealth of models t... Read More about Quantifying the impact of variability in railway bridge asset management.

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.

Using Petri-Net modelling for a data-driven approach to bridge management and safety (2018)
Presentation / Conference Contribution
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2018, July). Using Petri-Net modelling for a data-driven approach to bridge management and safety. Presented at 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018)

Bridge portfolio managers have a difficult task managing a large, varied portfolio of aging assets in a squeezed financial climate and on networks with increasing usage. Therefore, decision support tools are becoming more and more integral in managin... Read More about Using Petri-Net modelling for a data-driven approach to bridge management and safety.

A mathematical programming approach to railway network asset management (2018)
Presentation / Conference Contribution
Fecarotti, C., & Andrews, J. A mathematical programming approach to railway network asset management. Presented at ESREL 2018

A main challenge in railway asset management is selecting the maintenance strategies to apply to each asset on the network in order to effectively manage the railway infrastructure given that some performance and safety targets have to be met under b... Read More about A mathematical programming approach to railway network asset management.

Vulnerability assessment modelling for railway networks (2018)
Presentation / Conference Contribution
Meesit, R., & Andrews, J. (2018, June). Vulnerability assessment modelling for railway networks. Presented at 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR 2018), Manchester, UK

Railway networks are prone to many different potential disruptive events such as technical failures (e.g. the failure of aging components), natural disasters (e.g. flooding) and intentional man-made disasters (e.g. trespass and suicide). Assessing th... Read More about Vulnerability assessment modelling for railway networks.

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.