An intelligent machinery fault diagnosis method based on gan and transfer learning under variable working conditions

HIGHLIGHTS

• who: Wangpeng He et al. from the School of Aerospace Science and Technology, Xidian University, Xi`an, China have published the research work: An Intelligent Machinery Fault Diagnosis Method Based on GAN and Transfer Learning under Variable Working Conditions, in the Journal: Sensors 2022, 9175 of /2022/
• what: This model has strong feature expression ability domain and target domain samples .
• how: The domain adaptation regularization algorithm and the experimental verification onextract the dataset are discussed. The CWRU bearing dataset was collected from the experimental platform provided by Case Western Reserve University . The program . . .
  

   

  

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