Research on Fault Diagnosis Method of Aircraft Secondary Distribution System Based on RBF Neural Network

Abstract

This paper studies on the fault diagnosis of aircraft secondary power distribution system based on RBF neural network. Firstly, the basic principle and model of radial basis function neural network (RBF) are expounded,then the common fault types of the aircraft secondary distribution system are analyzed and the characteristic parameters extraction of the corresponding fault modes is studied. Then, based on the multisensor information fusion problem of the aircraft secondary distribution system, an RBF network model suitable for the aircraft secondary distribution system is established. The model was trained by MATLAB software, and an online fault diagnosis platform for aircraft secondary power distribution system is established.