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小波包变换和神经网络的某型导弹故障诊断方法研究
引用本文:梁瑞胜,孙有田,周希亚.小波包变换和神经网络的某型导弹故障诊断方法研究[J].海军航空工程学院学报,2008,23(2):217-220.
作者姓名:梁瑞胜  孙有田  周希亚
作者单位:1. 海军驻沈阳地区航空军事代表室,沈阳,110034
2. 海军驻中国航天科工集团三院军事代表室,北京,100074
3. 92497部队,海南,陵水,572425
摘    要:提出了一种基于小波包变换的残差能量方法,对导弹动态测试数据进行分析处理,提取导弹的故障特征,并在此基础上利用神经网络有效地实现了故障的诊断和定位。

关 键 词:动态测试  故障诊断  小波包变换  BP神经网络
文章编号:1673-1522(2008)02-0217-04
修稿时间:2007年9月15日

Research on a Certain Missile Fault Diagnosis Method Based on Wavelet Packet Translation and Neural Network
LIANG Rui-sheng,SUN You-tian and ZHOU Xi-ya.Research on a Certain Missile Fault Diagnosis Method Based on Wavelet Packet Translation and Neural Network[J].Journal of Naval Aeronautical Engineering Institute,2008,23(2):217-220.
Authors:LIANG Rui-sheng  SUN You-tian and ZHOU Xi-ya
Institution:LIANG Rui-sheng, SUN You-tian, ZHOU Xi-ya ( 1. Aeronautical Military Representatives Office of Navy in Shenyang, Shenyang 110034, China; 2. Military Representatives Office of Navy in 3rd Academy of Aerospace Science and Technology Industry Group, Beijing 100074, China 3. The 92497^th Unit ofPLA, Lingshui Hainan 572425, China)
Abstract:A residual error energy characteristic vector method based on wavelet packet analysis was put forward. And using this method, the dynamic test data of a certain missile was analyzed and the fault character was extracted. On this basis, BP neural network was used to realize fault diagnosis and orientation.
Keywords:dynamic test  fault diagnosis  wavelet packet translation  BP neural network  
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