Title :
Timed Fault Tree Models of the China Yongwen Railway Accident
Author :
Yu Lu ; Zhaoguang Peng ; Miller, Alice ; Tingdi Zhao ; Johnson, Chris
Author_Institution :
Sch. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
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.
Keywords :
accident prevention; fault trees; maintenance engineering; railway accidents; risk analysis; China Yongwen railway accident; accident prevention; railway maintenance; railway safety; risk reduction; timed fault tree models; Accidents; Fault trees; Hazards; Logic gates; Maintenance engineering; Rail transportation; fault tree analysis; railway transportation systems; risk analysis; timed fault trees;
Conference_Titel :
Modelling Symposium (AMS), 2014 8th Asia
Print_ISBN :
978-1-4799-6486-4
DOI :
10.1109/AMS.2014.34