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This paper presents a novel technique for power quality disturbance classification. Wavelet transform (WT) has been used to extract some useful features of the power system disturbance signal and discrete harmony search with modified differential mutation operator (DHS_MD) have been used for feature dimension reduction in order to achieve high classification accuracy. Next, a probabilistic neural...
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