Research on Fault Diagnosis of Civil Aircraft based on AFPN

摘要：

As the knowledge in the fault diagnosis of civil aircraft is dynamic and uncertain,a method based on the Adaptive Fuzzy Petri Net(APFN) is proposed to solve the problem.AFPN not only takes the descriptive advantages of fuzzy Petri net,but also has learning ability like neural network.By this mean,firstly set up a fuzzy Petri net using the fuzzy production rule.Then the parameters of the fuzzy Petri net are trained by BP learning algorithm.At last,when the weights of the fuzzy Petri net are flxed,the fault origin can be found through the fault inference.At the end of the paper, an experiment is designed to demonstrate that the approach is feasible and effective in fuzzy reasoning.

关键词： Adaptive Fuzzy Petri Net fault diagnosis learning ability civil aircraft

作者: Xiuyan Wang Binbin Xue Zongshuai Li Jiaquan Lin

作者单位: College of Aeronautical Automation,Civil Aviation University of China Tianjin, China

会议类型: 国际会议

会议名称: 2011 Fourth International Symposium on Computational Interlligence and Design 第四届计算智能与设计国际会议 ISCID 2011

会议地点: 杭州

会议语种:英文

页码: 419-422

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）