State Monitoring and Analysis of an In-service Rail Transit Vehicle Braking System

Research on an Intelligent Diagnostic Equipment Suitable for Rail Traffic Braking System

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications ◽

10.1115/detc2019-97600 ◽

2019 ◽

Author(s):

Changzheng Fang ◽

Jing Yang ◽

Quan Liu ◽

Furen Feng ◽

Jianyong Zuo

Keyword(s):

Health Status ◽

Wireless Transmission ◽

Smart Device ◽

Rail Transit ◽

Analysis Method ◽

Braking System ◽

Cloud Server ◽

Train Operation ◽

Subway Train ◽

Train Safety

Abstract In order to meet the increasing requirements of train safety in the rail transit industry, it is important for the operators to monitor the running status and health status of the train in real time. Based on train on-broad data, using big data analysis method for data mining to study the health status of trains and change rules, it will be helpful to realize the informationization and intelligence of train operation. This paper designs and introduces a smart device for the brake system of rail transit trains. It reads the required data through the train CAN Bus network, and uses the wireless transmission device DTU to remotely send the analysis result to the cloud server. The user can easily browse the train’s device status and system health analyzed by the server through the webpage anytime and anywhere, which is helpful for the health operations and management of trains. The equipment passed the relevant tests of the Changsha subway train in China, which can meet the needs of functional design.

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The Reliability Evaluation of Antiskid Valve of CRH2 EMUs Based on Bayes Method

Periodica Polytechnica Transportation Engineering ◽

10.3311/pptr.11377 ◽

2018 ◽

Vol 47 (4) ◽

pp. 268-276

Author(s):

Jianwei Yang ◽

Xinghui Qiu ◽

Zhan Chen

Keyword(s):

Weibull Distribution ◽

Theoretical Basis ◽

Least Square Method ◽

Least Square ◽

The Other ◽

Rail Transit ◽

Bayes Method ◽

Braking System ◽

The Mathematical Model ◽

Two Parameter

This paper takes the antiskid valve of braking system as the object of the research. Two parameter Weibull distribution is established through analyzing the operational principle of antiskid valve. According to the Bayesian Reliability, the cumulative failure probability of antiskid valve is calculated. Meanwhile, the posterior distribution is obtained through Markov Chain Monte Carlo. By contrast with these two methods that the reliability of antiskid valve is obtained. According to the least square method, the undetermined parameters of the two parameter Weibull distribution were solved. Then, through the sensitivity analysis, the mathematical model is proved more robust. This paper provides a certain theoretical basis for the assessment of antiskid valve’s reliability, and it provides the reference to the other valve in braking system of rail transit vehicle. At the end of the paper, the reliability of the whole antiskid system is calculated through GO method on the basis of the parts' reliability is obtained by Bayes method.

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