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The Application of HIWO-SVM in Analog Circuit Fault Diagnosis

机译:HIWO-SVM在模拟电路故障诊断中的应用

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The paper proposes a fault diagnosis model based on the HIWO-SVM algorithm given the fact that the basic support vector machines (SVM) cannot solve er effectively the problem of fault diagnosis in analog circuit. First of all, the wavelet package technique is adopted for extracting the information of the faults from the test points in the analog circuit. The differential evolution (DE) algorithm is then integrated with the purpose of improving the performance of the basic IWO algorithm, i.e. a hybrid IWO(HIWO) algorithm. The HIWO algorithm is further used to optimize the parameters of SVM in order to avoid the randomness of the parameter selection, thereby improving the diagnosis precision and robustness. The experimental results on a filter circuit show that the method is more effective and reliable than the other methods for fault diagnosis.
机译:鉴于基本支持向量机不能有效地解决模拟电路的故障诊断问题,提出了一种基于HIWO-SVM算法的故障诊断模型。首先,采用小波包技术从模拟电路的测试点中提取故障信息。然后,为了改善基本IWO算法(即混合IWO(HIWO)算法)的性能,集成了差分进化(DE)算法。 HIWO算法进一步用于优化支持向量机的参数,以避免参数选择的随机性,从而提高诊断的准确性和鲁棒性。在滤波电路上的实验结果表明,该方法比其他方法更有效,更可靠。

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