Reliability analysis of communication subsystem in the train control system

2015 ◽  
pp. 637-640
Keyword(s):  
Control System ◽  
Reliability Analysis ◽  
Train Control ◽  
Train Control System

The Reliability Analysis and Simulation Method of Train Control System Based on Markov

2014 ◽  
Vol 556-562 ◽  
pp. 2333-2336
Author(s):  
Shang Guan Wei ◽  
Jie Xiao ◽  
Bai Gen Cai ◽  
Jian Wang
Keyword(s):  
Control System ◽  
Quantitative Analysis ◽  
Reliability Analysis ◽  
Fault Tree ◽  
Simulation Method ◽  
Train Control ◽  
Dynamic Fault Tree ◽  
Train Control System ◽  
Markov Method ◽  
Tree Method

This paper mainly studies the reliability of trackside subsystem of the CTCS-3 train control system. Dynamic fault tree method is used for reliability analysis. The fault tree is decomposed into static and dynamic sub-trees. Based on Markov method, precise quantitative analysis is performed on the dynamic sub-tree. The failure probability of the trackside subsystem is calculated. Through analyzing the structural importance degree and pivotal importance degree of the bottom events, suggestions for improving the reliability of the system are concluded.

Operation-oriented reliability and availability evaluation for onboard high-speed train control system with dynamic Bayesian network

2018 ◽  
Vol 233 (3) ◽  
pp. 455-469 ◽  
Author(s):  
Lei Jiang ◽  
Yiliu Liu ◽  
Xiaomin Wang ◽  
Mary Ann Lundteigen
Keyword(s):  
Control System ◽  
Bayesian Network ◽  
High Speed ◽  
Dynamic Bayesian Network ◽  
Dynamic Bayesian Networks ◽  
High Speed Train ◽  
Train Control ◽  
Train Control System ◽  
Onboard System ◽  
Reliability And Availability

The reliability and availability of the onboard high-speed train control system are important to guarantee operational efficiency and railway safety. Failures occurring in the onboard system may result in serious accidents. In the analysis of the effects of failure, it is significant to consider the operation of an onboard system. This article presents a systemic approach to evaluate the reliability and availability for the onboard system based on dynamic Bayesian network, with taking into account dynamic failure behaviors, imperfect coverage factors, and temporal effects in the operational phase. The case studies are presented and compared for onboard systems with different redundant strategies, that is, the triple modular redundancy, hot spare double dual, and cold spare double dual. Dynamic fault trees of the three kinds of onboard system are constructed and mapped into dynamic Bayesian networks. The forward and backward inferences are conducted not only to evaluate the reliability and availability but also to recognize the vulnerabilities of the onboard systems. A sensitivity analysis is carried out for evaluating the effects of failure rates subject to uncertainties. To improve the reliability and availability, the recovery mechanism should be paid more attention. Finally, the proposed approach is validated with the field data from one railway bureau in China and some industrial impacts are provided.

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