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小波网络非稳态故障诊断方法及应用
引用本文:胡鹏,赵国豪,乔渠,齐迹.小波网络非稳态故障诊断方法及应用[J].电光与控制,2006,13(1):94-98.
作者姓名:胡鹏  赵国豪  乔渠  齐迹
作者单位:防空兵指挥学院,河南,郑州,450052;解放军65559部队,辽宁,本溪,117000
摘    要:简要介绍了基于小波网络的非稳态故障诊断方法,并利用该方法结合某防空兵器电力系统故障诊断实例,通过变尺度地学习和训练建立了对应的小波网络,经过仿真试验,取得了起好的效果。说明小波网络的故障诊断方法较其它诊断方法而言,在军事上的运用更具有其独特的优势,在武器装备系统中有广阔的推广前景。

关 键 词:小波网络  变尺度法  故障诊断  火控电力系统
文章编号:1671-637X(2006)01-0094-05
收稿时间:2004-12-01
修稿时间:2004-12-012004-12-17

Wavelet network based unsteady state fault diagnosis method and its application
HU Peng,ZHAO Guo-hao,QIAO Qu,QI Ji.Wavelet network based unsteady state fault diagnosis method and its application[J].Electronics Optics & Control,2006,13(1):94-98.
Authors:HU Peng  ZHAO Guo-hao  QIAO Qu  QI Ji
Institution:1. Air Defertce Forces Command Academy, Zhengzhou 450052, China; 2. NO. 65559 Unit of the PIA , Benxi 117000, China
Abstract:The method of unsteady state fault diagnosis based on wavelet network is introduced briefly. The authors applied this method in electric power system fault diagnosis of a certain air defense system, and set up a corresponding wavelet net through the study and training by the way of Qauss-Newton method. The followed simulation was satisfactory. Thus it proves that compared with the other fault diagnosis method, wavelet network has its unique advantages and will have a bright prospect in military application.
Keywords:wavelet network  Qauss-Newton method  fault diagnosis  fire-control power system
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