Reliability Analysis on ATP System of CTCS-3 Based on Dynamic Bayesian Network

被引：0
|
作者：
Zhang Y. [1 ]
Yang J. [1 ]
机构：
[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2017年 / 39卷 / 07期
关键词：
ATP system of CTCS-3; Common cause failure; Dynamic Bayesian network; Reliability analysis;
D O I：
10.3969/j.issn.1001-8360.2017.07.012
中图分类号：
学科分类号：
摘要：
In response to the shortcomings of traditional reliability analysis method in the analysis of the reliability of the ATP system of CTCS-3, the reliability analysis on the ATP system was carried out by using the dynamic Bayesian network model. Firstly, the fault tree of ATP system of CTCS-3 was constructed on the basis of its structure and function, before the fault tree was turned into a corresponding dynamic Bayesian network. Secondly, by considering the factors such as maintenance and common cause failure, reliability analysis of ATP system was made. The results showed that, by using the bidirectional inference of dynamic Bayesian network, the reliability of the ATP system of CTCS-3 can be calculated, and the weak links of the ATP system can be effectively identified. Neglect of the impact of maintenance and common cause failure on the reliability of the system during reliability analysis will lead to a large deviation of the analysis results. The analysis of diagnosis reasoning showed that train interface unit is a weak link of the system apart from the double cold standby unit. Therefore, strengthening maintenance check of the train interface unit is helpful to reduce the failure rate of the system. © 2017, Editorial Office of Journal of the China Railway Society. All right reserved.
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页码：79 / 86
页数：7
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