Reliability Analysis Method for On-board Equipment of Train Control System Based on Resilience Effect

被引：0
|
作者：
Shangguan W. [1 ,2 ,3 ]
Hu F. [1 ]
Yuan M. [1 ]
Cai B. [1 ,3 ]
Wang J. [1 ,2 ,3 ]
机构：
[1] School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing
[2] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing
[3] Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2018年 / 40卷 / 06期
关键词：
Bayesian network; Operation reliability; Resilience; Train operation control system;
D O I：
10.3969/j.issn.1001-8360.2018.06.010
中图分类号：
学科分类号：
摘要：
Given the complex structure of the train operation control system, during the operation of the train, any minor interference may cause failures or even disastrous consequences. The resilience is defined as the capability that a system returns to normal state at the internal passive or external active factors for repair when suffered interference which may lead to the decrease of the system function during operation. The on-board equipment with high occurrence rate of failures was selected as research object through the statistical analysis of the historical failure data. In this paper, a discrete time Bayesian network method was used to carry out the operation reliability analysis of the on-board equipment. By constructing resilience triangle model, the resilience of the on-board subsystems was calculated when different types of faults occurred. When the short-term recoverable failures occurred in the on-board equipment, the resilience capability of the system was 96.32%. Finally, based on the evaluation results, some system condition based maintenance strategies based on resilience effect were proposed. © 2018, Department of Journal of the China Railway Society. All right reserved.
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页码：75 / 82
页数：7
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