Research on aircraft burst fault diagnosis based on T-S fuzzy neural network
Hui Yang, Lijing Wang, Zheng Deng
College of Computer Science and Technology, Civil Aviation University of China,No.2898 JINBEI Road, Dongli District,Tianjin, China
Aircraft burst fault is uncertainty and ambiguity. Considering QAR data as the research object, the fault diagnosis system based on the T-S fuzzy neural network combined with aircraft maintenance processes is built. First, the system designs the network performance oversight function to improve genetic neural network program. Then the fuzzy logic is used to deal with fuzzy rules, which can determine the location and severity of fault. And the result proves that the system has strong ability to deal with the questions.