| 一种基于小波预处理的模拟电路故障诊断方法 |
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| 引用本文： | 李璐怡,李志华.一种基于小波预处理的模拟电路故障诊断方法[J].电子设计工程,2014(14):146-148. |
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| 作者姓名： | 李璐怡 李志华 |
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| 作者单位： | 河海大学能源与电气学院,江苏南京211100 |
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| 摘 要： | 文中提出了一种基于小波预处理的模拟电路故障诊断方法。由于小波分析具有数据压缩和特征提取的特性,我们利用小波变换对电路脉冲信号进行多尺度分解,提取特征向量输入神经网络进行训练。实验表明,该办法可以有效地减少神经网络的训练时间,提高模拟电路故障诊断的准确率。
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| 关 键 词： | 模拟电路 小波分析 神经网络 故障诊断 |
A method of analog circuit fault diagnosis based on wavelet preprocessing |
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| LI Lu-yi,LI Zhi-hua.A method of analog circuit fault diagnosis based on wavelet preprocessing[J].Electronic Design Engineering,2014(14):146-148. |
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| Authors: | LI Lu-yi LI Zhi-hua |
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| Affiliation: | ( College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China) |
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| Abstract: | This paper presents a method of analog circuit fault diagnosis based on wavelet preprocessing. We use wavelet transform to decompose the pulse signal of circuit into multi-scale, and import the extracted feature vector to neural network for training, as wavelet analysis possesses the characteristic of data compression and feature extraction. Experiments show that this method can reduce the training time of neural network, and improve the accurate rate of analog circuit fault diagnosis effectively. |
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| Keywords: | analog circuit wavelet analysis neural network fault diagnosis |
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