Reliability assessment of CTCS-3 using Bayesian networks

Author

Hongsheng Su ; Yulong Che

Author_Institution

Sch. of Autom. & Electr. Eng., Lanzhou Jiaotong Univ., Lanzhou, China

fYear

2013

fDate

15-18 July 2013

Firstpage

284

Lastpage

288

Abstract

Train control system of high speed railway is the core equipment and technology to ensure the safe and reliable operation of high-speed trains, so reliability assessment of train control system counts for much. In this paper, firstly, Bayesian Networks (BN) technology is introduced for the limitation of traditional fault tree analysis (FTA) method. Secondly, reliability model of CTCS-3 train control system is established by BN transformed from the fault tree (FT) of CTCS-3. Finally, reliability of CTCS-3 and its redundant configuration is assessed by BN´s advantage of expressing uncertainty knowledge and its bidirectional reasoning ability. It is not only convenient to identify the failure combination mode leading to the failure of the train control system, but also be able to find out the weak links in CTCS-3 system. Through the case analysis, BN shows great superiority in reliability assessment of system compared with FTA. What is more, it provides a new foundation for reliability assessment of train control system.

Keywords

belief networks; fault trees; railways; BN technology; Bayesian networks technology; CTCS-3 train control system; FTA; bidirectional reasoning ability; fault tree analysis method; high speed railway; reliability assessment; uncertainty knowledge; Bayes methods; Circuit faults; Computer network reliability; Control systems; Fault trees; Reliability; Safety; Bayesian Networks; CTCS-3; fault tree; reliability assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-1014-4

Type

conf

DOI

10.1109/QR2MSE.2013.6625585

Filename

6625585