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Design of test stimuli and minimisation of ambiguity in fault diagnosis of analogue circuits with tolerance

机译:具有公差的模拟电路故障诊断中的测试激励设计和模糊度最小化

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摘要

A novel method of stimuli design for analogue circuit fault diagnosis is presented based on a genetic algorithm and wavelet packet decomposition. The method is characterised by reduced fault ambiguity and more accurate fault classification. Computation is also reduced because the method does not require matrix inversion and calculation. The proposed method is suitable for transient and AC input sources and can be applied to both linear and nonlinear circuits.
机译:提出了一种基于遗传算法和小波包分解的模拟电路故障诊断激励设计方法。该方法的特点是减少了故障的模糊性,并提高了故障分类的准确性。因为该方法不需要矩阵求逆和计算,所以也减少了计算。所提出的方法适用于瞬态和交流输入源,并且可以应用于线性和非线性电路。

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