%0 Journal Article
%T PATTERN RECOGNITION FOR COMPOSITE FAULT BASED ON WAVELET NEURAL NETW0RKS<br>基于小波神经网络的组合故障模式识别
%A HU Shou-Song
%A ZHOU Chuan
%A WANG Yuan
%A <br>胡寿松
%A 周川
%A 王源
%J 自动化学报
%D 2002
%I 
%X A pattern recognition method for composite fault diagnosis based on wavelet neural networks is presented. Considering the multiple faults in complex nonlinear system such as a fighter, a multiple-layer wavelet neural network is constructed. Residual signal is processed by discrete binary wavelet transformation at the input layer, and the detail coefficients are obtained under multi-resolution as fault character vectors, finally these character vectors are sent to the neural network classifier to complete fault pattern recognition. Simulation results reveal that the presented method is effective for composite fault diagnosis.
%K Fault diagnosis
%K wavelet neural networks
%K pattern recognition
%K fighter<br>小波
%K 神经网络
%K 组合故障
%K 模式识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=E215491EBA8EABC8&yid=C3ACC247184A22C1&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=DFBC046213B3DD86&eid=BA305A52E2EE9350&journal_id=0254-4156&journal_name=自动化学报&referenced_num=16&reference_num=3