Application of Aircraft Fuel Fault Diagnostic Ezpert System Based on Fuzzy Neural Network

摘要：

Theories of expert system and fuzzy artificial neural network (ANN) are applied to solve the problem of fault diagnosis in the aircraft fuel system. A multilayer neural network model of the aircraft fuel system is put forward and the integrated aircraft fuel fault diagnostic expert system which solves the problems of knowledge representation and knowledge acquisition of traditional expert system is realized. The hardware-in-loop simulation results show that the expert system diagnoses the fault in accessories rapidly and accurately and it is proved that the expert system is significative and helpful for further development in the aircraft fuel fault diagnosis.

关键词： Aircraft Fuel System Fault Diagnosis Fuzzy ANN Ezpert System

作者: Hao Long Xinmin Wang

作者单位: College of Automatics Beijing Union University Beijing, China College of Automatics Northwestern Polytechnical University Xian, Shan Xi province, China

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 861-864

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）