A Data-Driven Model of Cable Insulation Defect Based on Convolutional Neural Networks

A Data-Driven Model of Cable Insulation Defect Based on Convolutional Neural Networks

The insulation condition of cables has been the focus of research in power systems. To address the problem that the electric field is not easily measured under the operating condition of 10 kV transmission cables with insulation defects, this paper proposes a data-driven cable insulation defect mode...

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Bibliographic Details
Main Authors: Weixing Han, Guang Yang, Chunsheng Hao, Zhengqi Wang, Dejing Kong, Yu Dong
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
cable
convolutional neural network
finite element method
insulation defect
data-driven
Online Access:https://www.mdpi.com/2076-3417/12/16/8374

Internet

https://www.mdpi.com/2076-3417/12/16/8374

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