论文信息 - Notice of RetractionResearch on the roller bearing fault diagnosis based on Morphological Wavelet and LSSVM algorithm

Notice of RetractionResearch on the roller bearing fault diagnosis based on Morphological Wavelet and LSSVM algorithm

In response to the roller bearing fault, the method of fault recognition of rolling bearings based on Morphological Wavelet and Least Squares Support Vector Machine was presented. Morphological Wavelet was applied to signal preprocessing, energy feature method to signal extraction. And then, we carry out the recognition of fault types using Least Square Support Vector Machine algorithm. After testing and simulation, the results showed that the fault diagnosis method based on Morphological Wavelet and Least Square Support Vector Machine can diagnose typical faults of the roller bearing effectively.

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