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基于Volterra频域核的非线性模拟电路故障诊断

KANG Hui,HUANG Yaoqun,WANG Jinxia

Journal of Test and Measurement Technology（2011）

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Abstract
非线性模拟电路的故障特征的表征困难,另外基于神经网络的故障诊断存在收敛速度低及泛化能力差的问题.本文将非线性系统复杂的Volterra高阶核函数表示成一维数值解的形式,并以此来表征故障特征,同时借助小波变换与神经网络的优点,降低了输入特征矢量的维数,并且提高了泛化能力.实验结果表明:该方法建模简单,运算量小,具有一定的可行性和实用性.
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Key words
fault diagnosis,wavelet transform,neural network,volterra kernel,nonlinear analog circuit
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