TY  - JOUR
PY  - 2019//
TI  - An importance order analysis method for causes of railway signaling system hazards based on complex networks
JO  - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of risk and reliability
A1  - Liu, Jintao
A1  - Li, Keping
A1  - Zheng, Wei
A1  - Zhu, Jiebei
SP  - 567
EP  - 579
VL  - 233
IS  - 4
N2  - The importance order of causes of a railway signaling system hazard is important for the arrangement of control measures for eliminating or controlling the system hazard. In order to obtain a reasonable importance order, a novel importance order analysis method based on complex networks is proposed in this article. In this article, to characterize the causes from a topological perspective, a comprehensive topology characteristic is proposed. It is built on the top of three typical topology characteristics with the weighted Euclidean distance. Then, an influence coefficient matrix is proposed to measure the causal influence between causes. Based on the proposed topology characteristic and matrix, an algorithm is designed to identify the importance order of causes. To verify the effectiveness of the proposed method, a case study on a Chinese high-speed railway signaling system hazard is performed. The results show that the proposed method is feasible for the arrangement of control measures to eliminate or control system hazards and performs better than the traditional complex network-based methods in terms of avoiding conflicting and rough results.<p />  <p>Language: en</p>
LA  - en
SN  - 1748-006X
UR  - http://dx.doi.org/10.1177/1748006X18807785
ID  - ref1
ER  -