A new method for rolling bearing fault diagnosis was introduced based on the multiEMD,cApEn and GG clustering algorithm.The rolling bearing vibration signals were decomposed first by multi-EMD to obtain several intrinsic mode function(IMF)components and a tendency item.Then the first seven IMF components involving the primary feature informations were chosen by the criteria of correlation with the original signals,and the cApEn entropies of each IMF component were composed eigenvectors.Finally,the construct...
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