铁道科学与工程学报2012，Vol.9Issue(6)：107-112,6.
基于D-S证据理论信息融合的轨道电路故障诊断方法研究
Research on track circuit fault diagnosis method based on D-S evidence theory information fusion
摘要
Abstract
Based on the fact that there are more and more mainstream equipment using ZPW - 2000 A track circuit , and the single fault diagnosis method shows low precision, the fault diagnosis method based on the module of information fusion was proposed. This method works as follows; Firstly, the fault is diagnosed by using the BP neural network and fuzzy comprehensive evaluation, then the diagnostic results of these two methods are seen as the evidence body in D — S evidence theory, and the probability assignment of D - S evidence theory is structured by the output of the neural network and the fuzzy comprehensive evaluation. At last by the D - S evidence theory , the diagnosis result through using BP—neural network and fuzzy comprehensive evaluation is then fused on the decision - level so as to judge whether the track circuit has fault and the type of the fault. The simulation result indicates that this diagnostic method has a high accuracy of fault diagnosis, and the credibility of diagnostic result has been obviously improved.关键词
故障诊断/信息融合/D-S证据理论/神经网络/模糊综合评判Key words
fault diagnosis/ information fusion/ D - S evidence theory / neural network / fuzzy comprehensive e-valuation分类
交通工程引用本文复制引用
李娜,董海鹰..基于D-S证据理论信息融合的轨道电路故障诊断方法研究[J].铁道科学与工程学报,2012,9(6):107-112,6.基金项目
国家自然科学基金资助项目(61165006) （61165006）
