A data-driven model of cable insulation defect based on convolutional neural networks

HIGHLIGHTS

• who: Weixing Han et al. from the State Grid Handan Electric Power Supply Company, Handan, China North China Electric Power University, Baoding, China have published the Article: A Data-Driven Model of Cable Insulation Defect Based on Convolutional Neural Networks, in the Journal: (JOURNAL)
• what: The datadriven model constructed in this paper contains 11 input characteristic quantities related to the actual operating parameters of the cable, so that the electric field distribution of the cable can be calculated directly by the data-driven model when the operating conditions of the cable are changed.
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