Fault Arc Detection Based on Channel Attention Mechanism and Lightweight Residual Network

An arc fault is the leading cause of electrical fire. Aiming at the problems of difficulty in manually extracting features, poor generalization ability of models and low prediction accuracy in traditional arc fault detection algorithms, this paper proposes a fault arc detection method based on the f...

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Автори:	Xiang Gao, Gan Zhou, Jian Zhang, Ying Zeng, Yanjun Feng, Yuyuan Liu
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2023-06-01
Серія:	Energies
Предмети:	arc fault detection convolutional neural network residual network channel attention mechanism one-dimensional depth separable convolution
Онлайн доступ:	https://www.mdpi.com/1996-1073/16/13/4954
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Fault Arc Detection Based on Channel Attention Mechanism and Lightweight Residual Network

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