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Vol. 156, Issue 9, September 2013, pp. 203-210




Risk Assessment on Railway Signal System Based on Fuzzy-FMECA Method
You-Peng Zhang, Zheng-Jie Xu, * Hong-Sheng Su

School of Automation and Electrical Engineering Lanzhou Jiaotong University, 88 West Anning Road, 730070, China

 * Tel.: 13359492512
E-mail: shsen@163.com


Received: 5 June 2013   /Accepted: 25 August 2013   /Published: 30 September 2013

Digital Sensors and Sensor Sysstems


Abstract: Risk assessment is becoming increasingly important for railway signal system in order to safeguard their passengers and employees while improving safety and reducing maintenance costs. However, the application of risk assessment methods in railway signal system may not give satisfactory results because the risk data are incomplete or there is a high level of uncertainty involved in the risk data. This article presents a new risk assessment method for railway signal system using Failure Mode, Effects and Criticality Analysis (FMECA) and Fuzzy Analytical Hierarchy Process (FAHP). A case study on risk assessment of Interval Signal Control Function for Train Control Center is used to illustrate the application of the proposed risk assessment method. FMECA is firstly employed to summarize the potential failure modes of this function. And then based on the expert scoring for each failure mode in terms of Probability of Occurrence, Severity, and Detectability. FAHP is used to determine the relative importance of the risk contributions. The risk assessment results show that the application of Fuzzy-FMECA method can identify the failure modes and evaluate the potential risk of the Railway Signal System more objectively and effectively, which will provide railway risk analysts, engineers with a method to improve their safety management of Railway Signal System and set safety standards.


Keywords: Risk assessment, Railway signal system, FMECA, FAHP, Interval signal control function.


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