Ensemble capsule network with an attention mechanism for the fault diagnosis of bearings from imbalanced data samples

HIGHLIGHTS

• who: Zengbing Xu and colleagues from the School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China have published the research: Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples, in the Journal: Sensors 2022, 22, 5543. of /2022/
• what: A novel ensemble Capsnet with CBAM that is based on the weighted majority voting method has been suggested in this paper to diagnose bearing faults using imbalanced data samples and noisy data samples.
• how: To illustrate the fact that the different IMF . . .
  

   

  

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