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作 者:杜锐[1] DU Rui(Ya'an Vocational and Technical College,Ya'an 625000,China)
出 处:《山东工业技术》2023年第2期92-96,共5页Journal of Shandong Industrial Technology
摘 要:由于传统的耦合电路故障识别方法准确率较低,易导致电路瘫痪,本文提出基于经验小波变换的耦合电路识别方法。通过非接触测试方式采集耦合电路故障信号;采用小波包分析法对采集的故障信号进行去噪处理;基于经验小波变换有效提取故障特征;利用PSPICE的灵敏度分析法获取故障特征的权重;根据故障特征的权重采用SVM故障分类器进行耦合电路的故障分类,实现耦合电路故障识别。选取某经典耦合电路进行仿真实验,实验结果表明:单故障识别准确率高达98.5%、双故障识别准确率高达97.9%,说明本文所提方法具有较高故障识别准确率。Due to the low accuracy of traditional coupling circuit fault identification methods,it is easy to lead to circuit paralysis.In this paper,a coupling circuit identification method based on empirical wavelet transform is proposed.The fault signal of the coupling circuit is collected by the non-contact test method;the collected fault signal is denoised by the wavelet packet analysis method;the fault feature is effectively extracted based on the empirical wavelet transform;the weight of the fault feature is obtained by the sensitivity analysis method of PSPICE;The weight of the coupling circuit is classified by the SVM fault classifier to realize the fault identification of the coupling circuit.A classical coupling circuit is selected for simulation experiments.The experimental results show that the accuracy of single fault identification is as high as 98.5%,and the accuracy of double fault identification is as high as 97.9%,indicating that the method proposed in this paper has a high fault identification accuracy.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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