The iba-ismo method for rolling bearing fault diagnosis based on vmd-sample entropy

HIGHLIGHTS

• who: Deyu Zhuang et al. from the China Coal Technology and Engineering Group Shanghai Company Ltd, Shanghai, China School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China have published the paper: The IBA-ISMO Method for Rolling Bearing Fault Diagnosis Based on VMD-Sample Entropy, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: This study proposes a feature extraction method variational modal decomposition (VMD) and and also designs an improved sequence minimization algorithm with optimal parameters to identify the Firstly a variational modal decomposition system vibration signals . . .
  

   

  

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