Reliability modeling and analysis of on-board subsystem of high-speed railway ATO system based on Bayesian network

Yuerong Wang; Zhenhai Zhang

doi:10.1117/12.2619970

22 December 2021 Reliability modeling and analysis of on-board subsystem of high-speed railway ATO system based on Bayesian network

Yuerong Wang, Zhenhai Zhang

Author Affiliations +

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120581D (2021) https://doi.org/10.1117/12.2619970
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

The High-speed railway automatic operation system plays an important role in controlling train operation and its function is related to the safety of automatic train operation. As an important part of the on-board subsystem to ensure the safety of train operation, it is necessary to model and analyze its reliability and safety. In view of the complex calculations of traditional reliability analysis methods and the difficulty of analyzing common cause failures, this paper analyzes the functional structure of the on-board subsystem of the High-speed railway automatic train operation system. Through the mapping relationship between the fault tree and Bayesian network, the Bayesian network model of the on-board subsystem is established, and the reliability of the on-board subsystem of High-speed railway automatic train operation system is modeled and analyzed. In this paper, the α factor model is used to quantitatively analyze the common cause failures of the on-board subsystems, and then the reliability analysis model of the on-board subsystems considering common cause failures is established by adding common cause failure nodes. The results show that the two-way inference ability of Bayesian networks can be used to analyze the availability and weaknesses of on-board subsystems. Through the continuous accumulation of common cause failure data of on-board subsystem, the quantitative analysis results of the α factor model are more in line with the actual failure rate.

Citation Download Citation

Yuerong Wang and Zhenhai Zhang "Reliability modeling and analysis of on-board subsystem of high-speed railway ATO system based on Bayesian network", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120581D (22 December 2021); https://doi.org/10.1117/12.2619970

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Reliability

Systems modeling

Safety

Acquisition tracking and pointing

Control systems

Complex systems

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years