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Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of power circuits is presented. In this paper, the Bayesian evidence framework is applied to select the optimal values of the regularization and kernel parameters of multi-class LS-WSVM classifiers. Also wavelet coefficients of output voltage signals of power...
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