Accurate identification partial discharge of cable termination for high-speed trains based on s-transform and two-dimensional convolutional network algorithm

HIGHLIGHTS

• What: In this paper, the wavelet algorithm is used to denoise the signal, and the partial discharge and corona interference are identified through the one-dimensional convolutional neural_network. Paper, research work can be carried out from the following aspects in the future: 13 of 15 Due to its depth and complexity, the 2DCNN model requires a lot of computing resources and time in the training process, and there are certain limitations for the actual field application.
• Who: Yunlong Xie and colleagues from the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China have published the . . .
  

   

  

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