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In the existing research of power quality disturbance (PQD) identification, the efficiency of signal processing is low and cannot meet the needs of practical application analysis.Furthermore, due to the lack of effective analysis of features, the complexity of classifiers is increased, and the efficiency of classification reduced by the redundant f
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