Reliability analysis on the train control system in the CTCS-3 operating mode

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lijuan Shi ◽  
Jian Wang
Keyword(s):  
Control System ◽  
High Speed ◽  
Fault Tree ◽  
Operating Mode ◽  
Content Type ◽  
Train Control ◽  
Dynamic Fault Tree ◽  
Train Control System ◽  
Train Operation ◽  
Operation Control

Purpose This paper aims to study the reliability of the high-speed train operation control system in the Chinese Train Control System Level 3 (CTCS-3) operating mode. Design/methodology/approach Dynamic fault tree and Bayesian network method are adopted to analyze the reliability and weakness of the CTCS-3 system. Findings First, a physical architecture and data flow diagram of the CTCS-3 system are established according to the typical structure and functions of the CTCS-3 system. Second, the dynamic fault tree of the CTCS-3 system is constructed. Considering the prior probability of the bottom event and the existence of dynamic redundancy, the dynamic fault tree is transformed into a Bayesian net. The reliability of the CTCS-3 system is carried out based on the prior probability and the weakness that affects the reliability of the system based on the posterior probability is also analyzed by the Bayesian network. Finally, it is disclosed that the impact of the on-board subsystem on the reliability of the CTCS-3 system is generally greater than that of the ground subsystem. The two weakest modules in the onboard subsystem are the driver-machine interface (DMI) and balise transmission module (BTM) and the weakest one in the ground subsystem is Balise. The analysis results are generally consistent with the malfunctions in the field operation of China’s high-speed railway. Originality/value (1) By reasoning, the reliability of the train operation control system in the CTCS-3 operating mode meets the standard requirements. (2) Through backward reasoning, it is found that the failure of the onboard subsystem leads to a greater probability of failure of the train control system. (3) The DMI, BTM and automatic train protection computer unit modules are weak components in the onboard subsystem. Vital digit input&output, train interface unit and train security gateway are rarely involved in previous research, the result in this paper shows that these three modules are also weak components in the subsystem, which requires attention.

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.

scholarly journals Expanding Plan Study of KRTCS-2(Korean Radio Train Control System for Conventional & High Speed Railway)

2017 ◽  
Vol 66 (3) ◽  
pp. 533-539
Author(s):  
Kang-Gyoo Lee ◽  
Jong-gwoan Choi ◽  
Dong-Il Sung ◽  
Hak-Sun Yun ◽  
Jong-Won Park ◽  
...  
Keyword(s):  
Control System ◽  
High Speed ◽  
High Speed Railway ◽  
Train Control ◽  
Train Control System ◽  
Plan Study

Analisis Kinerja GSM-R Pada Kereta Cepat Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 93-100
Author(s):  
Natriya Faisal
Keyword(s):  
New York ◽  
Control System ◽  
High Speed ◽  
Radio Waves ◽  
High Speed Train ◽  
New York University ◽  
Natural Conditions ◽  
Train Control ◽  
Train Control System ◽  
Railway System

The High-Speed Train of Indonesian will be implemented in 2022. The communication system used on the fast train is planned to use GSM-R in the future. GSM-R technology is expected to be applied to railways in Indonesia as well as in Europe. The railway system in Germany has applied GSM-R on the Berlin to Halle / Leipzig line using the first European Train Control System (ETCS) in Europe [2]. Radio waves used by GSM-R are at a frequency of 876 to 880 MHz for the uplink side and 921 to 925 MHz on the downlink side. This journal analyzes the GSM-R design that will be applied to Indonesian fast trains using the New York University Simulation (NYUSIM) method. This study evaluates the performance of GSM-R with intervention with natural conditions, such as temperature, humidity, air pressure, power and so on, resulting in a better GSM-R performance in terms of resistance to interference tested.

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