Recognition of partial discharge of cable accessories based on convolutional neural network with small data set

• Anan Zhang ^[1] ; Jiahui He ^[2] ; Yu Lin ^[1] ; Qian Li ^[1] ; Wei Yang ^[1] ; Guanglong Qu ^[1]
  1. [1] University, Chengdu, China
  2. [2] Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou, China
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 39, Nº 2, 2020, págs. 431-446
• Idioma: inglés
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• Resumen

  • Considering the problem that the high recognition rate of deep learning requires the support of mass data, this study aims to propose an insulating fault identification method based on small data set convolutional neural network (CNN).