Research on wavelet neural network in fault diagnosis for flight control system

被引：0

作者：

Ning Dongfang ^{[1
]}

ZhAng Weiguo ^{[1
]}

Li Bin ^{[1
]}

机构：

[1] NW Polytech Univ, Coll Automat, Xian 710072, Peoples R China

来源：

ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年

关键词：

wavelet neural network; flight control system; fault diagnosis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2261 / 2263

页数：3