| 一种基于小波神经网络的模拟电路故障诊断方法 |
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| 引用本文： | 韩宝如,孟玲玲.一种基于小波神经网络的模拟电路故障诊断方法[J].电子测量技术,2006,29(6):14-16,18. |
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| 作者姓名： | 韩宝如 孟玲玲 |
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| 作者单位： | 燕山大学信息科学与工程学院,秦皇岛,066004 |
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| 摘 要： | 本文针对模拟电路提出了1种新的基于紧致型小波神经网络的故障诊断方法。该方法首先利用小波变换和主成分分析对故障信号进行预处理,然后用处理后的故障特征数据对小波神经网络进行训练和测试。仿真实验表明,该方法比普通神经网络方法训练速度更快,诊断准确率更高。
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| 关 键 词： | 故障诊断 小波变换 主成分分析 小波神经网络 |
Analog circuit fault diagnosis method based on wavelet neural network |
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| Han Baoru,Meng Lingling.Analog circuit fault diagnosis method based on wavelet neural network[J].Electronic Measurement Technology,2006,29(6):14-16,18. |
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| Authors: | Han Baoru Meng Lingling |
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| Affiliation: | The college of Information Science and Engineering, Yanshan University, Qinhuangdao 066004 |
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| Abstract: | This paper presents a new fault diagnosis method based on inlay model wavelet neural network for analog circuit. The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data. Experimentation indicates that the method has faster training speed and higher diagnosis nicety rate than general neural network method. |
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| Keywords: | fault diagnosis wavelet transform principle component analysis wavelet neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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