An improved incipient fault diagnosis method of bearing damage based on hierarchical multi-scale reverse dispersion entropy

HIGHLIGHTS

• who: Jiaqi Xing and Jinxue Xu from the different fault sizes of the bearing inner are measured by approximate entropy [11]Compared with approximate entropy, data length does not influence the calculation of sample entropy. Sample entropy and empirical mode decomposition are combined as the battery fault detection method [12]. Fuzzy entropy introduces the idea of threshold segmentation. A Euclidean distance based multi-scale fuzzy entropy method has been proposed to diagnose bearing faults, which measures the similarity of two vectors with continuous values from zero to one based on the Euclidean distance of the two vectors . . .
  

   

  

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