Supervised Contrastive Learning for Fault Diagnosis Based on Phase-Resolved Partial Discharge in Gas-Insulated Switchgear

Supervised contrastive learning (SCL) has recently emerged as an alternative to conventional machine learning and deep neural networks. In this study, we propose an SCL model with data augmentation techniques using phase-resolved partial discharge (PRPD) in gas-insulated switchgear (GIS). To increas...

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Detalhes bibliográficos

Principais autores:	Nhat-Quang Dang, Trong-Tai Ho, Tuyet-Doan Vo-Nguyen, Young-Woo Youn, Hyeon-Soo Choi, Yong-Hwa Kim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-12-01
coleção:	Energies
Assuntos:	data augmentation fault diagnosis phase-resolved partial discharge (PRPD) supervised contrastive learning (SCL)
Acesso em linha:	https://www.mdpi.com/1996-1073/17/1/4
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