文献类型：会议论文

英文题名：Application of Aircraft Fuel Fault Diagnostic Expert System Based on Fuzzy Neural Network

作者：Long, Hao[1];Wang, Xinmin[2]

通讯作者：Long, H[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing, Peoples R China;[2]Northwestern Polytech Univ, Coll Automat, Xian, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：WASE International Conference on Information Engineering (ICIE 2009)

会议日期：JUL 10-11, 2009

会议地点：Taiyuan, PEOPLES R CHINA

语种：英文

外文关键词：Aircraft Fuel System; Fault Diagnosis; Fuzzy ANN; Expert System

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.