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Modelling adaptive systems using plausible Petri nets (2018)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018, July). Modelling adaptive systems using plausible Petri nets. Presented at 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)
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 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)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018, July). A Bayesian assessment for railway track geometry degradation prognostics. Presented at 4th European Conference of the Prognostics and Health Management Society (PHME 2018)

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)
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.

Component-based modelling of PEM fuel cells with bond graphs (2017)
Journal Article
Vasilyev, A., Andrews, J., Jackson, L., Dunnett, S., & Davies, B. (2017). Component-based modelling of PEM fuel cells with bond graphs. International Journal of Hydrogen Energy, 42(49), 29406-29421. https://doi.org/10.1016/j.ijhydene.2017.09.004

A polymer electrolyte membrane (PEM) fuel cell is a power generation device that transforms chemical energy contained within hydrogen and oxygen gases into useful electricity. The performance of a PEMFC unit is governed by three interdependent physic... Read More about Component-based modelling of PEM fuel cells with bond graphs.

A reliability-based prognostics framework for railway track management (2017)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. A reliability-based prognostics framework for railway track management. Presented at Annual Conference of the Prognostics and Health Management Society, 2017

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.

Integration of prognostics at a system level: a Petri net approach (2017)
Presentation / Conference Contribution
Chiachío, M., Chiachío, J., Sankararaman, S., & Andrews, J. Integration of prognostics at a system level: a Petri net approach. Presented at 2017 Annual Conference of the Prognostics and Health Management Society

This paper presents a mathematical framework for modeling prognostics at a system level, by combining the prognostics principles with the Plausible Petri nets (PPNs) formalism, first developed in M. Chiach´ıo et al. [Proceedings of the Future Technol... Read More about Integration of prognostics at a system level: a Petri net 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.

Accelerating Petri-Net simulations using NVIDIA graphics processing units (2017)
Journal Article
Yianni, P. C., Neves, L. C., Rama, D., & Andrews, J. D. (2018). Accelerating Petri-Net simulations using NVIDIA graphics processing units. European Journal of Operational Research, 265(1), https://doi.org/10.1016/j.ejor.2017.06.068

Stochastic Petri-Nets (PNs) are combined with General-Purpose Graphics Processing Unit (GPGPUs) to develop a fast and low cost framework for PN modelling. GPGPUs are composed of many smaller, parallel compute units which has made them ideally suited... Read More about Accelerating Petri-Net simulations using NVIDIA graphics processing units.

Delayed maintenance modelling considering speed restriction for a railway section (2017)
Journal Article
Shang, H., Berenguer, C., & Andrews, J. (in press). Delayed maintenance modelling considering speed restriction for a railway section. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(4), https://doi.org/10.1177/1748006X17709200

The deterioration of track geometry depends on several factors of which the speed of the train is one. Imposing a speed restriction can slow down the track deterioration and allows a longer survival time before a serious condition is achieved. Preven... Read More about Delayed maintenance modelling considering speed restriction for a railway section.

A new algorithm for prognostics using subset simulation (2017)
Journal Article
Chiachío, M., Chiachío, J., Sankararaman, S., Goebel, K., & Andrews, J. (2017). A new algorithm for prognostics using subset simulation. Reliability Engineering and System Safety, 168, https://doi.org/10.1016/j.ress.2017.05.042

This work presents an efficient computational framework for prognostics by combining the particle filter-based prognostics principles with the technique of Subset Simulation, first developed in S.K. Au and J.L. Beck [Probabilistic Engrg. Mech., 16 (2... Read More about A new algorithm for prognostics using subset simulation.

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.