Towards a fault diagnosis method for rolling bearings with time-frequency region-based convolutional neural network

HIGHLIGHTS

  • who: Jiahui Tang and colleagues from the School of Mechanical and Precision Instrument Engineering, Xi`an University of Technology, Xi`an, China have published the article: Towards a Fault Diagnosis Method for Rolling Bearings with Time-Frequency Region-Based Convolutional Neural Network, in the Journal: Machines 2022, 10, 1145. of 26/Oct/2022
  • what: Specifically an attention module was introduced so the model could focus on representative features. Based on the previous studies, object detection is introduced into the fault diagnosis in this paper, and the fault features are identified from the input signals to . . .

     

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