Timed Fault Tree Models of the China Yongwen Railway Accident

Lu, Y. , Peng, Z., Miller, A. , Zhao, T. and Johnson, C. (2014) Timed Fault Tree Models of the China Yongwen Railway Accident. In: 8th Asia Modelling Symposium (AMS 2014), Taipei, Taiwan, 23-25 Sep 2014, pp. 128-133. ISBN 9781479964864 (doi: 10.1109/AMS.2014.34)

Abstract

Safety is an essential requirement for railway transportation. There are many methods that have been developed to predict, prevent and mitigate accidents in this context. All of these methods have their own purpose and limitations. This paper presents a new useful analysis technique: timed fault tree analysis. This method extends traditional fault tree analysis with temporal events and fault characteristics. Timed Fault Trees (TFTs) can determine which faults need to be eliminated urgently, and it can also provide a safe time window to repair them. They can also be used to determine the time taken for railway maintenance requirements, and thereby improve maintenance efficiency, and reduce risks. In this paper, we present the features and functionality of a railway transportation system based on timed fault tree models. We demonstrate the applicability of our framework via a case study of the China Yongwen line railway accident.

• Item Type: Conference Proceedings
• Keywords: Railway transportation systems, fault tree analysis, risk analysis, timed fault trees
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Johnson, Professor Chris and Miller, Professor Alice and Lu, Mr Yu
• Authors: Lu, Y., Peng, Z., Miller, A., Zhao, T., and Johnson, C.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781479964864
• Copyright Holders: Copyright © 2014 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher