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SVM Method for Diagnosing Analog Circuits Fault Based on Testability Analysis

机译:基于可测性分析的支持向量机方法在模拟电路故障诊断中的应用

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in this paper a new method for diagnosing analog circuits fault is presented. The proposed method use the testability analysis of the circuit under test (CUT) to determine an optimal set of testable components (OSTC), and support vector machine (SVM) was introduced to identify the analog circuits fault. Testability analysis theoretically determines all of the diagnosable components. SVM has good characteristics of simple structure and strong generalization ability. Experimental results show that the proposed method for diagnosing analog circuits fault using testability analysis and SVM is superior to the others and to increase the fault diagnosis accuracy.
机译:本文提出了一种诊断模拟电路故障的新方法。该方法利用被测电路的可测试性分析(CUT)来确定最佳的可测试组件集(OSTC),并引入了支持向量机(SVM)来识别模拟电路故障。从理论上讲,可测试性分析确定了所有可诊断的组件。支持向量机具有结构简单,泛化能力强的特点。实验结果表明,提出的基于可测性分析和支持向量机的模拟电路故障诊断方法优于其他方法,提高了故障诊断的准确性。

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