| 一种基于小波神经网络的故障诊断方法 |
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| 引用本文： | 陈炜,冯玉光.一种基于小波神经网络的故障诊断方法[J].电子工程师,2005,31(8):67-70. |
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| 作者姓名： | 陈炜 冯玉光 |
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| 作者单位： | 海军航空工程学院兵器科学与技术系,山东省,烟台市,264001 |
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| 摘 要： | 在阐述了小波变换和BP(反向传播)神经网络概念的基础上,根据小波神经网络故障诊断的基本思想,提出了一种基于"能量-故障"的小波预处理神经网络故障诊断方法.实验仿真结果表明,使用该方法提取故障特征加快了神经网络的训练速度,能迅速地进行故障的检测和定位.
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| 关 键 词： | 故障诊断 神经网络 小波分析 故障特征 |
| 收稿时间： | 2005-04-21 |
| 修稿时间： | 2005年4月21日 |
A Fault Diagnosis Method Based on Wavelet and Neural Network |
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| Chen Wei,Feng Yuguang.A Fault Diagnosis Method Based on Wavelet and Neural Network[J].Electronic Engineer,2005,31(8):67-70. |
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| Authors: | Chen Wei Feng Yuguang |
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| Abstract: | After introducing the conception of wavelet transfer and the architecture of BPNN, a fault diagnosis method based on "energy-fault" is presented, which is according to the basic idea of fault diagnosis of wavelet and neural network. The proposed method uses wavelet decomposition as the preprocessor of BPNN. The result of simulation shows that circuit fault can be detected and located quickly by using this method and the training speed of BPNN is dramatically accelerated. |
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| Keywords: | fault diagnosis neural networks wavelet analysis fault feature |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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