Deep transfer learning models for industrial fault diagnosis using vibration and acoustic sensors data: a review

HIGHLIGHTS

• who: Firstname Lastname et al. from the Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya, Malaysia have published the research: Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review, in the Journal: Vibration 2023, 6, 218-238. of /2023/
• what: The aim of this review is to assess where vision inspection system research is right now. To solve the aforementioned deficiency, this study aims to provide a comprehensive assessment of DTL for defect detection in industrial settings. The primary focus of this study is the modeling . . .
  

   

  

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