Reliability evaluations of railway power supplies by fault-tree analysis


Autoria(s): Chen, S. K.; Ho, T. K.; Mao, B. H.
Data(s)

2007

Resumo

High reliability of railway power systems is one of the essential criteria to ensure quality and cost-effectiveness of railway services. Evaluation of reliability at system level is essential for not only scheduling maintenance activities, but also identifying reliability-critical components. Various methods to compute reliability on individual components or regularly structured systems have been developed and proven to be effective. However, they are not adequate for evaluating complicated systems with numerous interconnected components, such as railway power systems, and locating the reliability critical components. Fault tree analysis (FTA) integrates the reliability of individual components into the overall system reliability through quantitative evaluation and identifies the critical components by minimum cut sets and sensitivity analysis. The paper presents the reliability evaluation of railway power systems by FTA and investigates the impact of maintenance activities on overall reliability. The applicability of the proposed methods is illustrated by case studies in AC railways.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/38214/

Publicador

The Institution of Engineering and Technology

Relação

http://eprints.qut.edu.au/38214/1/c38214a.pdf

DOI:10.1049/iet-epa:20060244

Chen, S. K., Ho, T. K., & Mao, B. H. (2007) Reliability evaluations of railway power supplies by fault-tree analysis. IET Electric Power Applications, 1(2), p. 161.

Direitos

Copyright 2007 The Institution of Engineering and Technology

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #090505 Infrastructure Engineering and Asset Management #090507 Transport Engineering #090607 Power and Energy Systems Engineering (excl. Renewable Power) #Railway engineering #power feeding system #reliability-centred maintenance #fault tree analysis #reliability evaluation
Tipo

Journal Article