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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/21/11280 |