Research on arc fault detection using resnet and gamma transform regularization

HIGHLIGHTS

• who: February and colleagues from the Josip Juraj Strossmayer University of University of Guanajuato, Mexico have published the article: Research on arc fault detection using ResNet and gamma transform regularization, in the Journal: (JOURNAL)
• what: According to the questions above, the research of this paper aims to improving the performance of detection methods through the following three aspects: Since then, the research on arc faults mainly focuses on the simulation of arc models. The authors propose a data enhancement method of image random gamma transform and random rotation.
• how: In 220 V 50 . . .
  

   

  

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