To further improve the recognition accuracy of the diagnostic method OLTC mechanical failure, multiple features described herein starting from the fusion theory, proposed a multi-scale weighted based fusion permutation entropy feature (Feature fusion based on multi-scale weighted permutation entropy, FFMWPE) and IPSO-KNN OLTC machinery fault diagnosis method of feature selection
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