| 基于小波神经网络的电路故障诊断方法 |
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| 引用本文： | 谭杰,谢胜曙,尹新.基于小波神经网络的电路故障诊断方法[J].仪器仪表用户,2006,13(6):102-103. |
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| 作者姓名： | 谭杰 谢胜曙 尹新 |
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| 作者单位： | 湖南大学,电气与信息工程学院,长沙,410082 |
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| 摘 要： | 本文根据小波神经网络故障诊断的基本思想,提出了一种基于“小波系数特征故障”的小波预处理神经网络模拟电路故障诊断方法。实验仿真结果表明,使用该方法提取故障特征加快了BP神经网络的训练速度.能迅速有效地进行故障检测和定位。
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| 关 键 词： | 故障诊断 神经网络:小波分析 |
| 文章编号： | 1671-1041（2006）06-0102-02 |
| 收稿时间： | 2006-07-21 |
| 修稿时间： | 2006年7月21日 |
Wavelet-neural network-based fault diagnosis approach for analog circuits |
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| TAN Jie,XIE Sheng-shu,YIN Xin.Wavelet-neural network-based fault diagnosis approach for analog circuits[J].Electronic Instrumentation Customer,2006,13(6):102-103. |
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| Authors: | TAN Jie XIE Sheng-shu YIN Xin |
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| Abstract: | A fault diagnosis method based on "coefficient feature fault" is presented in this article, which is according to the basic idea of wavelet and neural network approach for fault diagnosis of analog circuit .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 and effective. |
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| Keywords: | fault diagnosis neural networks wavelet analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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