International Journal of Computational Intelligence Systems

Volume 14, Issue 1, 2021, Pages 96 - 105

Fault Tree Construction Model Based on Association Analysis for Railway Overhead Contact System

Authors
Kaiyi Qian1, *, ORCID, Long Yu2, Shibin Gao2
1Electrification and Communication Institute, China Railway Design Corporation, Tianjin, China
2Electrical Engineering Department, Southwest Jiaotong University, Chengdu, China
*Corresponding author. Email: qiankaiyi2006@163.com
Corresponding Author
Kaiyi Qian
Received 14 July 2020, Accepted 1 November 2020, Available Online 10 November 2020.
DOI
10.2991/ijcis.d.201105.002How to use a DOI?
Keywords
Railway OCS; Association rule acquisition; Fault tree construction
Abstract

The overhead contact system (OCS) is the power source of electrified railway, it is very important to evaluate the system status accurately to maintain its safe and stable operation. At present, fault tree analysis is the main method of reliability assessment for OCS. Existent methods to establish the fault tree divide the system into functional modules and require professional knowledge, which limits the failure cause and makes the result subjective. Besides, the fault tree constructed by traditional method cannot reflect the difference between the same system under different working conditions. In this paper, we applied association analysis to OCS for the first time and proposed a novel fault tree construction model based on characteristics of OCS. Firstly, hierarchical structure and method of multi-dimensional partition (MDP) is proposed to flexibly transform the failure records of OCS into transaction database, which can reduce the sparsity of data. Secondly, the failure mode intensity is defined to replace the support, which can eliminate the influence by complex layout of railway and make the mining result more reasonable. Adjustment factor and new pruning strategy are proposed for mining association rules among levels. Thirdly, the transformation from rules into fault tree structure is presented and fault tree construction model based on association rules is proposed. At last, a case study is conducted based on real failure records database of two local railway administrations of China sharing the same OCS design and the comparison between fault trees constructed by our model and traditional method verifies that the proposed model can build the adaptable fault tree in a more objective way without the limitation of modules.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
96 - 105
Publication Date
2020/11/10
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.201105.002How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Kaiyi Qian
AU  - Long Yu
AU  - Shibin Gao
PY  - 2020
DA  - 2020/11/10
TI  - Fault Tree Construction Model Based on Association Analysis for Railway Overhead Contact System
JO  - International Journal of Computational Intelligence Systems
SP  - 96
EP  - 105
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201105.002
DO  - 10.2991/ijcis.d.201105.002
ID  - Qian2020
ER  -