Research based on improved cnn-svm fault diagnosis of v2g charging pile

HIGHLIGHTS

• who: Yuyi Yang and Wu Zhu from the Department of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai, China have published the research: Research Based on Improved CNN-SVM Fault Diagnosis of V2G Charging Pile, in the Journal: Electronics 2023, 12, x FOR PEER REVIEW of /2023/
• what: The research purpose of this paper is to make better and faster diagnosis of the fault of the charging pile using technology based on deep learning. To ensure the diagnostic accuracy of the model, before inputting the waveform into the convolutional neural_network, wavelet packet transformation . . .
  

   

  

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