文献类型：期刊文献

英文题名：Failure propagation analysis of high-speed train systems from the perspective of multi-layer stochastic flow network

作者：Lin, Shuai[1];Jia, Limin[2];Zhang, Hengrun[3];Zhang, Pengzhu[4];Xiong, Yan[1]

机构：[1]Shanghai Inst Technol, Sch Econ & Management, Shanghai 200235, Peoples R China;[2]Beijing Jiaotong Univ, State Key Lab Adv Rail Autonomous Operat, Beijing 100044, Peoples R China;[3]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[4]Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China

年份：2026

卷号：265

外文期刊名：RELIABILITY ENGINEERING & SYSTEM SAFETY

收录：;EI(收录号：20253218927605);WOS:【SCI-EXPANDED(收录号:WOS:001547139700005)】；

基金：This work was supported by the Youth Program of the National Natural Science Foundation of China (71901019) , the Science Foundation of Shanghai Key Laboratory of Computer Software Evaluating and Testing (SSTL2024_02) , and the Science Foundation of State Key Laboratory for Novel Software Technology of Nanjing University (KFKT2025B82) .

语种：英文

外文关键词：Failure propagation; High-speed train systems; Stochastic flow network; Failure modes; Load redistribution

摘要：The failure of minimum maintenance units (MMUs) in a high-speed train system (HSTS) increases the workloads of other MMUs, which can lead to failure propagation (FAP) and cause catastrophic accidents. In this study, a model is developed to analyze the process of FAP in HSTSs, considering system topology, dynamic functions, failure modes (FMs) and degradation of MMUs. Firstly, the entire topology and system functions of the HSTS are constructed as a multi-layer stochastic flow network (MSFN), and a network-state equation is established to analyze the flows along the edges. Subsequently, the initial load is defined based on the flows of the edges and load influencing rate (LIR), which quantifies the degree of initial load loss for an MMU under specified FMs at the initial failure time. Finally, a load redistribution model is used to introduce the inter-layer propagation mechanism, and different load redistribution strategies are adopted within different layers to predict fault propagation paths, providing theoretical support for maintenance decision-making. A practical case from the "Fuxing" HSTS is presented to illustrate the analysis procedure and compare the effectiveness of the proposed model with those of the existing methods.