DocumentCode
3435286
Title
Analysis on reliability model of high-speed EMU bogie system
Author
Hengliang Wang ; Zhenggang Lu ; Baoan Zhang
Author_Institution
Inst. of Railway & Urban Mass Transit, Tongji Univ., Shanghai, China
fYear
2013
fDate
15-18 July 2013
Firstpage
156
Lastpage
161
Abstract
In this paper, fault tree analysis method and Bayesian network are introduced briefly. To overcome the restriction that fault tree analysis assumes the condition of an event as two-state, according to the mapping relationship between fault tree and Bayesian network, an event in fault tree is transformed to a node in Bayesian network, which will be divided into some sub-nodes corresponding to different states of an event. And connecting strength in Bayesian network corresponded to logical gate in fault tree will be expressed by conditional probability distribution. Taking foundation brake system as an example, reliability analysis on high-speed EMU bogie is presented. The research result shows that when multi-state characteristic of an event and uncertainty of logical relationship are considered, the calculation of probability distribution of bogie system fault can be more accurate. The reliability algorithm of high-speed EMU bogie based on fault tree analysis and Bayesian network is presented and developed.
Keywords
Bayes methods; brakes; failure (mechanical); fault diagnosis; fault trees; network theory (graphs); railway safety; railways; statistical distributions; Bayesian network node; bogie system fault; brake system; conditional probability distribution; event multistate characteristic; fault tree analysis method; high-speed Emu bogie system reliability model analysis; logical gate; logical relationship uncertainty; mapping relationship; two-state condition; Bayes methods; Equations; Fault trees; Joining processes; Logic gates; Probability distribution; Reliability; Bayesian network; bogie; electric multiple units; fault tree; foundation brake system; probabiltiy distribution;
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.2013.6625556
Filename
6625556
Link To Document