A novel data augmentation method for improving the accuracy of insulator health diagnosis

HIGHLIGHTS

• who: Zhifeng Li et al. from the State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi`an Jiaotong University, Xi`an, China have published the research work: A Novel Data Augmentation Method for Improving the Accuracy of Insulator Health Diagnosis, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: The results show that the AWDBA proposed in this study has significant advantages relative to DBA in terms of data enhancement. In the SVM algorithm especially the authors propose a new parameter optimization method based on . . .
  

   

  

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