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Research Article | Open Access

Reliability allocation of railway system based on fault tree

Pei Liu1, Xing Fang2, Jiaxu Chen1( ), Jingyu Zhang1, Kexin Zhang1, Mingming Wang1
Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
China Academy of Railway Sciences Corporation Limited, Beijing, China
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Abstract

Purpose

This paper focuses on studying the reliability allocation for the railway system, aiming to improve the overall reliability of the railway system and ensure safety operation.

Design/methodology/approach

In view of the complex structure of the railway system, involving many subsystems, this paper analyzes the close dynamic coupling effect between railway subsystems. Based on this, taking the railway system failure as the top event, a fault tree is constructed in this paper. Then, a reliability allocation method based on the fault tree is employed to allocate the reliability index. Finally, a numerical experiment is implemented to show the performance of the reliability allocation method.

Findings

The results showed that each subsystem needs to improve its reliability to meet the specified railway system reliability requirements, and the traction power supply system is the most important subsystem, which is the most efficient in improving the reliability of the railway system.

Originality/value

For the first time, starting from a holistic perspective of the system, reliability allocation is carried out based on the importance of each railway subsystem.

Keywords

Railway systemComposition structureFault tree constructionReliability allocation

References

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Railway Sciences
Volume 4 Issue 4,
August 2025
Pages 550-562
DOI: 10.1108/RS-06-2025-0020

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Cite this article:
Liu P, Fang X, Chen J, et al. Reliability allocation of railway system based on fault tree. Railway Sciences, 2025, 4(4): 550-562. https://doi.org/10.1108/RS-06-2025-0020

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Received: 23 June 2025
Revised: 18 July 2025
Accepted: 22 July 2025
Published: 01 August 2025
© Pei Liu, Xing Fang, Jiaxu Chen, Jingyu Zhang, Kexin Zhang and Mingming Wang. Published in Railway Sciences.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence.