Fault diagnosis method of bearing utilizing glcm and mbasa-based kelm

HIGHLIGHTS

  • who: Sheng-wei Fei from the CollegeDonghua University have published the Article: Fault diagnosis method of bearing utilizing GLCM and MBASA-based KELM, in the Journal: Scientific Reports Scientific Reports
  • what: In the experiment, the data of the faults including inner race fault, outer race fault and ball fault with a damage size of 0.014 inches and the data of normal state under a load of 3HP are used, the sampling frequency is 48 u00adkHz19. In this study, fault diagnosis method of bearing utilizing GLCM and MBASA-based KELM is presented, feature extraction of . . .

     

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