Lite and efficient deep learning model for bearing fault diagnosis using the cwru dataset

HIGHLIGHTS

• who: Yubin Yoo et al. from the Department of Information and Communication Engineering, Graduate School, Dongguk University, Gyeongju, Republic of Korea have published the research work: Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of 15/03/2023
• what: This paper attempts to show that the proposed model generates superior performance compared to the model proposed by Chen et_al . under under the the same same conditions. conditions. This study investigated the optimal sample rate that can achieve high classification . . .
  

   

  

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