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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.

Quantifying the impact of variability in railway bridge asset management (2018)
Conference Proceeding
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J. D., Tedstone, N., & Dean, R. (2018). Quantifying the impact of variability in railway bridge asset management.

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 methodology for railway track maintenance modelling using Plausible Petri nets (2018)
Presentation / Conference
Chiachio, M., Chiachio, J., Prescott, D., & Andrews, J. (2018, September). A methodology for railway track maintenance modelling using Plausible Petri nets. Paper presented at Probabilistic Safety Assessment and Management PSAM 14

This paper proposes a new mathematical methodology to model expert systems with the ability to sequentially learn from data. To this end, the Plausible Petri nets (PPNs) methodology, first developed in M. Chiachío et al. [Proceedings of the Future Te... Read More about A methodology for railway track maintenance modelling using Plausible Petri nets.

Producing effective maintenance strategies to control railway risk (2018)
Conference Proceeding
Fecarotti, C., & Andrews, J. (2018). Producing effective maintenance strategies to control railway risk. In Probabilistic Safety Assessment and Management PSAM 14 , September 2018 , Los Angeles, CA

This paper describes the main features of a modelling framework that sets out a systematic approach to railway infrastructure asset management enabling decisions to be made based not only on costs but on service performance and safety. First, the fra... Read More about Producing effective maintenance strategies to control railway risk.

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.

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.

Using Petri-Net modelling for a data-driven approach to bridge management and safety (2018)
Conference Proceeding
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2018). Using Petri-Net modelling for a data-driven approach to bridge management and safety.

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 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 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 mathematical programming approach to railway network asset management (2018)
Conference Proceeding
Fecarotti, C., & Andrews, J. (2018). A mathematical programming approach to railway network asset management.

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)
Conference Proceeding
Meesit, R., & Andrews, J. (2018). Vulnerability assessment modelling for railway networks. In Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability. https://doi.org/10.19124/ima.2018.001.16

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.