电力系统保护与控制2016，Vol.44Issue(11)：26-32,7.DOI:10.7667/PSPC151181
基于模型与模糊 Petri 网融合的高铁牵引变压器故障诊断
Fault diagnosis for traction transformer of high speed railway on the integration of model-based diagnosis and fuzzy Petri nets
摘要
Abstract
The problem with regard to the uncertainty and the relationship between the components exists in the model-based diagnosis method. Aiming at this issue, based on the idea of complementary integration, this paper proposes a method of mode-based diagnosis combining with fuzzy Petri Nets to diagnose traction transformer. For the external faults of the traction transformer, the model-based method is directly implemented to build a two-layer model based on the structure and function using voltage and current as variables. The minimal conflict set candidates and the minimal conflict sets are introduced by offline search and on-line recognition to realize the diagnosis. For the internal faults of the traction transformer, the model-based method is implemented to obtain the fault component localization and the fuzzy Petri Nets is used to realize the regional modeling and diagnostic reasoning. By diagnosing the three-phase V/x connected traction transformer faults of Wuhan-Guangzhou High-Speed Railway, the feasibility and effectiveness of the proposed method are verified.关键词
基于模型诊断/模糊 Petri 网/牵引变压器/故障诊断/高速铁路Key words
model-based diagnosis/fuzzy Petri nets/traction transformer/fault diagnosis/high-speed railway引用本文复制引用
戴晨曦,刘志刚,胡轲珽,高松..基于模型与模糊 Petri 网融合的高铁牵引变压器故障诊断[J].电力系统保护与控制,2016,44(11):26-32,7.基金项目
国家自然科学基金项目(U1134205，U1434203，51377136)This work is supported by National Natural Science Foundation of China (No. U1134205, No. U1434203, and No.51377136) （U1134205，U1434203，51377136）
