One-Shot Learning for Partial Discharge Diagnosis Using Ultra-High-Frequency Sensor in Gas-Insulated Switchgear

In recent years, deep learning has been successfully used in order to classify partial discharges (PDs) for assessing the condition of insulation systems in different electrical equipment. However, fault diagnosis using deep learning is still challenging, as it requires a large amount of training da...

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Detalles Bibliográficos
Autores principales: Tuyet-Doan, Vo-Nguyen, Do, The-Duong, Tran-Thi, Ngoc-Diem, Youn, Young-Woo, Kim, Yong-Hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582290/
https://www.ncbi.nlm.nih.gov/pubmed/32998406
http://dx.doi.org/10.3390/s20195562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582290/
https://www.ncbi.nlm.nih.gov/pubmed/32998406
http://dx.doi.org/10.3390/s20195562

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