Reliability evaluations of railway power supplies by fault-tree analysis

Chen, S.K.; Ho, Т.K.; Mao, Baohua

doi:10.1049/iet-epa:20060244

Cited by 70 publications

(40 citation statements)

References 16 publications

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“…Besides, it is desirable to identify the critical components to improve the cost effectiveness of the maintenance activities and improving policies [14].…”

Section: Usefulness For Decision-makingmentioning

confidence: 99%

Criticality determination based on failure records for decision-making in the overhead contact line system

Duque

Zorita

García-Escudero

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part F:

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In this article, a new methodology to determine the criticality of the components of the overhead contact line (OCL) system by means of a component criticality index is proposed. The methodology is based on classic failure mode and effects analysis (FMEA) but adapted to its application on this system, with characteristics far from industrial systems where FMEA was developed. The procedure is focused on the analysis of the system's operating history with the important advantage that the subjectivity of the usual procedures is reduced. This methodology has proved to be very useful when applied to decision-making and for establishing maintenance frequencies of the elements of the OCL of the Spanish railway network, and it could also be applied to other kind of large-scale distributed systems.

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“…Besides, it is desirable to identify the critical components to improve the cost effectiveness of the maintenance activities and improving policies [14].…”

Section: Usefulness For Decision-makingmentioning

confidence: 99%

Criticality determination based on failure records for decision-making in the overhead contact line system

Duque

Zorita

García-Escudero

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…Some stochastic models have been developed to estimate the life cycle cost of the OLE components and evaluate system reliability 13,14,15 . Such models usually consider fixed-time interval preventative maintenance and corrective maintenance after a component failure, and do not take account of condition-based maintenance strategies.…”

Section: Introductionmentioning

confidence: 99%

A Petri Net-based life cycle cost analysis approach

Kilsby

Remenyte‐Prescott

Andrews

2018

Proceedings of the Institution of Mechanical Engineers, Part F:

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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 capability to use computer based models to predict the future performance and life cycle cost of an asset group is a key enabling mechanism for implementing effective asset management. Decision makers can determine the optimum maintenance strategy and the best allocation of capital expenditure based on evidence from modelling results. This paper shows how probabilistic modelling can be used to evaluate asset management projects of the railway overhead line equipment (OLE) system and undertake a life cycle cost analysis through the use of a stochastically timed High Level Petri Net. A complete modelling framework has been developed, where the components and their maintenance strategies are selected as inputs, and the Petri Net model is used to calculate outputs associated with the performance and life cycle cost of the OLE system for the corresponding components and strategies considered. This paper presents the practical use of the developed model and describes how the outputs can be used by asset managers to understand the expected system performance and cost over its life cycle. The range of outputs described are the most detailed for such models studying the OLE and other engineering systems in literature. Whilst the railway OLE system is used as an example study, the modelling framework is transferable to asset management projects for other engineering systems.

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“…The analytical methods mainly include reliability block diagram method [2,6], failure mode consequence analysis method FMEA [5], fault tree analysis method FTA [8,19] and so on. The model checking based approaches mainly use counterexamples in model checking [14,15].…”

Section: Introductionmentioning

confidence: 99%

Predicting Accidents in Interlocking Systems: An SHA Model-Based Approach

Wang¹

2017

IJPE

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In recent days, rail transit accidents happen from time to time, but the causes are difficult to be found. According to the stochastic and real-time characteristics of equipment faults, three layer models based on stochastic hybrid automata (SHA) are proposed for interlocking systems. The three layer models consist of a system model, a monitoring model and a fault prediction model. The accidents caused by the equipment faults are predicted by simulating these models together on UPPAAL-SMC platform. The main contributions of this paper include: (1) extracting model patterns for interlocking systems (2) presenting a pattern-based system model generation process and an automatic generation method of monitoring model based on time constraints and (3) defining the accidents prediction model of collision accidents to predict the accidents and monitoring accident causes through model simulation.

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Reliability evaluations of railway power supplies by fault-tree analysis

Cited by 70 publications

References 16 publications

Criticality determination based on failure records for decision-making in the overhead contact line system

Criticality determination based on failure records for decision-making in the overhead contact line system

A Petri Net-based life cycle cost analysis approach

Predicting Accidents in Interlocking Systems: An SHA Model-Based Approach

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