铁道科学与工程学报2018，Vol.15Issue(6)：1383-1390,8.
基于模糊贝叶斯网络的受电弓系统可靠性分析
Reliability analysis of multi pantograph system based on fuzzy Bayesian network
摘要
Abstract
Due to the computational complexity of the fuzzy fault tree in the reliability analysis for polymorphic pantograph system, it is impossible to negatively reason and accurately solve problems with cognitive uncertainty. On this basis, the present work integrated fuzzy Bayesian network with evidence theory to propose a method for reliability analysis of polymorphic pantograph system. First of all, the T-S fuzzy fault tree was constructed according to expert experience. Secondly, the T-S fuzzy fault tree was mapped to the fuzzy Bayesian network in accordance with the mapping rules, and the conditional probability table of each node was constructed. At the same time, the reliability on polymorphic pantograph system was examined according to analysis measures used in evidence theory. Thirdly, fault rate of fuzzy subsets, the importance of root nodes probability and critical degree as well as posterior probability of intermediate nodes and leaf nodes in each fault condition were calculated based on fault evidence interval of root nodes. Weak links influencing the reliability of pantograph system was also found according to reliability analysis results. The results of analysis in the article corresponded with the actual situation of pantograph of EMUs, thus the reliability and feasibility of algorithm was confirmed.关键词
受电弓/模糊贝叶斯网络/可靠性分析/证据理论Key words
pantograph/fuzzy Bayesian networks/reliability/evidence theory分类
交通工程引用本文复制引用
李兴运,齐金平..基于模糊贝叶斯网络的受电弓系统可靠性分析[J].铁道科学与工程学报,2018,15(6):1383-1390,8.基金项目
铁路总公司科研计划资助项目(2015T002-D) （2015T002-D）
