Journal of Engineering and Technological Sciences
Vol. 53 No. 5 (2021)

Reliability Analysis of Metro Door System Based on Fuzzy Multi-State Bayesian Network

Zhenliang Fu (Product R&D Center, CRRC Tangshan Co., LTD., No. 3 Changqian Road, Fengrun District, Tangshan 064000, China)
Na Li (Product R&D Center, CRRC Tangshan Co., LTD., No. 3 Changqian Road, Fengrun District, Tangshan 064000, China)
Xueyan Tian (Product R&D Center, CRRC Tangshan Co., LTD., No. 3 Changqian Road, Fengrun District, Tangshan 064000, China)
Yonghua Li (School of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, No. 794 Huanghe Road, Shahekou District, Dalian 116028, China)
Ziqiang Sheng (School of Mechanical Engineering, Dalian Jiaotong University, No. 794 Huanghe Road, Shahekou District, Dalian 116028, China)



Article Info

Publish Date
11 Nov 2021

Abstract

Considering the shortcomings of the fault tree analysis (FTA) method in the reliability analysis of metro door systems, Bayesian network (BN) and fuzzy theory were introduced to establish the failure probability model of a metro door system. A fault tree of the metro door system was established based on the structure of the metro door, the operation data record and the practical experience of relevant engineers. The BN of the metro door system was constructed based on the fault tree. For the problem that the prior probabilities of root nodes with missing data were unavailable, fuzzy theory was introduced to convert the expert language values on these missing data nodes to corresponding prior probabilities, which were substituted into the BN along with the root nodes whose prior probabilities were obtained from the operation fault data to calculate the leaf node probability. Cause analysis of the metro door system was performed with bi-directional reasoning of BN, which provided a way to find the key factors that caused door faults and the metro door system fault probabilities.

Copyrights © 2021






Journal Info

Abbrev

JETS

Publisher

Subject

Engineering

Description

Journal of Engineering and Technological Sciences welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental ...