Three-Phase Fault Arc Phase Selection Based on Global Attention Temporal Convolutional Neural Network

Three-Phase Fault Arc Phase Selection Based on Global Attention Temporal Convolutional Neural Network

For low-voltage three-phase systems, the deep fault arc features are difficult to extract, and the phase information has strong timing. This phenomenon leads to the problem of low accuracy of fault phase selection. This paper proposes a three-phase fault arc phase selection method based on a global...

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Bibliographic Details
Main Authors: Qiongfang Yu, Liang Zhao, Yi Yang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
global attention mechanism
arc fault
deep learning
fault phase selection
Online Access:https://www.mdpi.com/2076-3417/12/21/11280

Internet

https://www.mdpi.com/2076-3417/12/21/11280

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