Research of Fault Diagnosis in Flight Control System Based on Fuzzy Neural Network

Abstract

Based on fuzzy mathematics and the neural network method, with the combination of fault datas of B737NG aircraft flight control system and experts experiences, this paper built a fuzzy neural network (FNN) fault diagnosis model which can intuitively express the relevance of fault symptoms and fault reasons. By Simulation and analysis, the fault diagnosis accuracy of FNN is much higher than only BP neural network, The research makes fault positioning more accurate and valid, improves the efficiency of maintenance, as well as ensures flight safety and provides a new point of view for establishing the aviation maintenance auxiliary decision system.