| 基于小波包能量熵与SVM的模拟电路故障诊断 |
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| 引用本文： | 肖玉飞,刘祖润,李目.基于小波包能量熵与SVM的模拟电路故障诊断[J].电子测量技术,2011,34(6):110-113. |
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| 作者姓名： | 肖玉飞 刘祖润 李目 |
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| 作者单位： | 湖南科技大学信息与电气工程学院,湘潭,411201 |
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| 基金项目： | 湖南省教育厅基金资助(10C0672) |
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| 摘 要： | 提出1种小波包能量熵与支持向量机结合的模拟电路故障诊断新方法。首先对待测电路的输出电压信号进行多层小波包分解,然后对分解信号进行单支重构,并对重构系数求取小波包能量熵,形成故障诊断的特征向量。将特征向量输入支持向量机,通过选取恰当的核函数与多分类方法,对支持向量机进行训练,建立故障模式分类器,并在不同故障模式下对样本数据进行测试。仿真结果表明该方法能达到较高的诊断正确率。
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| 关 键 词： | 小波包能量熵 支持向量机 核函数 模拟电路 故障诊断 |
Analog circuit fault diagnosis based on wavelet packet energy entropy and SVM |
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| Xiao Yufei,Liu Zurun,Li Mu.Analog circuit fault diagnosis based on wavelet packet energy entropy and SVM[J].Electronic Measurement Technology,2011,34(6):110-113. |
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| Authors: | Xiao Yufei Liu Zurun Li Mu |
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| Affiliation: | Xiao Yufei Liu Zurun Li Mu(School of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411201) |
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| Abstract: | A new analog circuit fault diagnosis method based on the combination of wavelet packet energy entropy and support vector machine(SVM) is proposed in this paper.Firstly,make the output voltage signal of the test circuit to conduct multilayer wavelet packet decomposition,and then,make the decomposed signals to conduct single reconstruction,and calculate the wavelet packet energy entropy of the reconstruct coefficient,forming the feature vector for fault diagnosis.With the feature vector as input of the suppor... |
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| Keywords: | wavelet packet energy entropy SVM kernel function analog circuit fault diagnosis |
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