All Outputs (19)

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)
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.

Integration of prognostics at a system level: a Petri net approach (2017)
Conference Proceeding
Chiachío, M., Chiachío, J., Sankararaman, S., & Andrews, J. (2017). Integration of prognostics at a system level: a Petri net approach.

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)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., Thompson, D., Andrews, J., Clarke, P., & Atkinson, N. (2017). A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

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)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Towards a real-time Structural Health Monitoring of railway bridges.

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.

Reliability modelling of PEM fuel cells with hybrid Petri nets (2017)
Book Chapter
Vasilyev, A., Andrews, J. D., Jackson, L., & Dunnett, S. (2017). Reliability modelling of PEM fuel cells with hybrid Petri nets. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

In this paper, a novel model for dynamic reliability analysis of a PEM fuel cell system is developed using Modelica language in order to account for multi-state dynamics and aging. The modelling approach constitutes the combination of physical and st... Read More about Reliability modelling of PEM fuel cells with hybrid Petri nets.

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.

Optimising strategy selection for the management of railway assets (2017)
Conference Proceeding
Fecarotti, C., & Andrews, J. (2017). Optimising strategy selection for the management of railway assets.

In the railway industry a main concern is how to manage efficiently and effectively the railway assets under budget constraints. Optimal asset management involves decision making and selection of the best inspection, maintenance and renewal intervent... Read More about Optimising strategy selection for the management of railway assets.

Railway bridge fault detection using Bayesian belief network (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Railway bridge fault detection using Bayesian belief network.

Bridges are one of the most critical structures of the railway system. External loads may affect the bridge health state, and consequently their safety, availability and reliability can be improved by monitoring their condition and planning maintenan... Read More about Railway bridge fault detection using Bayesian belief network.

Bridge asset management using Petri-Nets (2017)
Conference Proceeding
Yianni, P., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2017). Bridge asset management using Petri-Nets.

Management of a diverse portfolio of assets is a demanding and complex task. Although extensive research has been carried out in bridge asset management models, the model developed in this study contains flexibility which is able to model a vast arra... Read More about Bridge asset management using Petri-Nets.

A Petri net model for railway bridge maintenance (2017)
Journal Article
Le, B., Andrews, J., & Fecarotti, C. (2017). A Petri net model for railway bridge maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(3), https://doi.org/10.1177/1748006X17701667

This article describes the application of the Petri net modelling approach to managing the maintenance process of railway bridges. The Petri net model accounts for the degradation, inspection and repair processes of individual bridge elements in inve... Read More about A Petri net model for railway bridge maintenance.

A modelling approach for railway overhead line equipment asset management (2017)
Journal Article
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. (2017). A modelling approach for railway overhead line equipment asset management. Reliability Engineering and System Safety, 168, 326-337. https://doi.org/10.1016/j.ress.2017.02.012

© 2017 Elsevier Ltd The Overhead Line Equipment (OLE) is a critical sub-system of the 25 kV AC overhead railway electrification system. If OLE asset management strategies can be evaluated using a whole lifecycle cost analysis that considers degradati... Read More about A modelling approach for railway overhead line equipment asset management.

Maintenance processes modelling and optimisation (2017)
Journal Article
Zhang, Y., Andrews, J., Reed, S., & Karlberg, M. (in press). Maintenance processes modelling and optimisation. Reliability Engineering and System Safety, https://doi.org/10.1016/j.ress.2017.02.011

A Maintenance Procedure is conducted in order to prevent the failure of a system or to restore the functionality of a failed system. Such a procedure consists of a series of tasks, each of which has a distribution of times to complete and a probabili... Read More about Maintenance processes modelling and optimisation.

System design and maintenance modelling for safety in extended life operation (2017)
Journal Article
Andrews, J., & Fecarotti, C. (in press). System design and maintenance modelling for safety in extended life operation. Reliability Engineering and System Safety, 163, https://doi.org/10.1016/j.ress.2017.01.024

It is frequently the most cost effective option to operate systems and infrastructure over an extended life period rather than enter a new build programme. The condition and performance of existing systems operated beyond their originally intended de... Read More about System design and maintenance modelling for safety in extended life operation.