Delayed maintenance modelling considering speed restriction for a railway section

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. Preventive maintenance delays can be authorized during t...

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Main Authors: Shang, Hui, Berenguer, Christophe, Andrews, John
Format: Article
Published: SAGE 2017
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Online Access:https://eprints.nottingham.ac.uk/43058/
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author Shang, Hui
Berenguer, Christophe
Andrews, John
author_facet Shang, Hui
Berenguer, Christophe
Andrews, John
author_sort Shang, Hui
building Nottingham Research Data Repository
collection Online Access
description 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. Preventive maintenance delays can be authorized during the survival time. However, speed restrictions also reduce the system throughput. On the other hand, a longer interval between preventive maintenance activities has a lower maintenance action cost and it also enables grouping the maintenance activities to save set-up costs as well as system down time. If the repair delay is too long, it may cause unacceptable conditions on the track and lead to higher maintenance costs and accidents. Therefore, it is interesting to assess the effect of a speed restriction on the delayed maintenance strategies for a railway track section. We want to solve a maintenance optimization problem to find the optimal tuning of the maintenance delay time and imposition of a speed restriction. To this aim, a delayed maintenance model is developed, in which track deterioration depends on the train speed and the number of passing trains. The model is used to determine an optimal speed restriction strategy and a preventive repair delay for the optimization of the system benefit and unavailability. Coloured Petri Nets (CPN) are adopted to model the maintenance and operation of the railway track section. The CPN model describes the gradual track deterioration as a stochastic process. Different speed restriction policies and maintenance delay strategies are modelled and activated by the observed component states. Monte Carlo simulations are carried out to estimate the maintenance cost, the system benefit and the system downtime under different policies. Numerical results show the maintenance decision variable trade-off.
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spelling nottingham-430582020-05-04T18:51:21Z https://eprints.nottingham.ac.uk/43058/ Delayed maintenance modelling considering speed restriction for a railway section Shang, Hui Berenguer, Christophe Andrews, John 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. Preventive maintenance delays can be authorized during the survival time. However, speed restrictions also reduce the system throughput. On the other hand, a longer interval between preventive maintenance activities has a lower maintenance action cost and it also enables grouping the maintenance activities to save set-up costs as well as system down time. If the repair delay is too long, it may cause unacceptable conditions on the track and lead to higher maintenance costs and accidents. Therefore, it is interesting to assess the effect of a speed restriction on the delayed maintenance strategies for a railway track section. We want to solve a maintenance optimization problem to find the optimal tuning of the maintenance delay time and imposition of a speed restriction. To this aim, a delayed maintenance model is developed, in which track deterioration depends on the train speed and the number of passing trains. The model is used to determine an optimal speed restriction strategy and a preventive repair delay for the optimization of the system benefit and unavailability. Coloured Petri Nets (CPN) are adopted to model the maintenance and operation of the railway track section. The CPN model describes the gradual track deterioration as a stochastic process. Different speed restriction policies and maintenance delay strategies are modelled and activated by the observed component states. Monte Carlo simulations are carried out to estimate the maintenance cost, the system benefit and the system downtime under different policies. Numerical results show the maintenance decision variable trade-off. SAGE 2017-06-22 Article PeerReviewed Shang, Hui, Berenguer, Christophe and Andrews, John (2017) 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). pp. 411-428. ISSN 1748-0078 Delayed maintenance Coloured Petri Net speed restriction performance assessment railway asset management http://journals.sagepub.com/doi/10.1177/1748006X17709200 doi:10.1177/1748006X17709200 doi:10.1177/1748006X17709200
spellingShingle Delayed maintenance
Coloured Petri Net
speed restriction
performance assessment
railway asset management
Shang, Hui
Berenguer, Christophe
Andrews, John
Delayed maintenance modelling considering speed restriction for a railway section
title Delayed maintenance modelling considering speed restriction for a railway section
title_full Delayed maintenance modelling considering speed restriction for a railway section
title_fullStr Delayed maintenance modelling considering speed restriction for a railway section
title_full_unstemmed Delayed maintenance modelling considering speed restriction for a railway section
title_short Delayed maintenance modelling considering speed restriction for a railway section
title_sort delayed maintenance modelling considering speed restriction for a railway section
topic Delayed maintenance
Coloured Petri Net
speed restriction
performance assessment
railway asset management
url https://eprints.nottingham.ac.uk/43058/
https://eprints.nottingham.ac.uk/43058/
https://eprints.nottingham.ac.uk/43058/