Fault diagnosis of rolling bearing based on permutation entropy and Extreme Learning Machine

Abstract

In consideration that bearing faults usually appear in the form of periodical impacts, fault information is easily interfered by noises and it is difficult to extract fault features, a method is proposed for diagnosing faults of roller bearings based on PE (Permutation Entropy) and ELM (Extreme Learning Machine). First of all, signals of original… (More)

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