Research on Wavelet Neural Network in Fault Diagnosis for Flight Control System

A fault diagnosis method for flight control system (FCS) based on the wavelet neural network was given. The wavelet analysis was adopted to construct the wavelet neural network (WNN). The training algorithm of WNN was improved by adding adaptive learning rate and momentum factor. Simulation results about application of this network to sensor faults diagnosis for FCS were given. The results show that the diagnosis system built based on WNN has good convergence and robustness.
wavelet neural network flight control system fault diagnosis
NING Dongfang ZhANG Weiguo LI Bin
College of Automation, Northwestern Polytechnical University, Xian 710072, China
国际会议
北京
英文
2007-08-05(万方平台首次上网日期,不代表论文的发表时间)