Semi-Supervised Learning-Based Partial Discharge Diagnosis in Gas-Insulated Switchgear
Effective monitoring and diagnosis of partial discharge (PD) in power equipment are crucial for maintenance, particularly given the expectations of significant increases in energy generation and consumption. Although deep neural networks have been widely applied in PD fault detection and classificat...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2024-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/10639399/ |
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