Anti-Interference Deep Visual Identification Method for Fault Localization of Transformer Using a Winding Model

The idea of Ubiquitous Power Internet of Things (UPIoTs) accelerates the development of intelligent monitoring and diagnostic technologies. In this paper, a diagnostic method suitable for power equipment in an interference environment was proposed based on the deep Convolutional Neural Network (CNN)...

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Detalles Bibliográficos
Autores principales: Duan, Jiajun, He, Yigang, Wu, Xiaoxin, Zhang, Hui, Wu, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806057/
https://www.ncbi.nlm.nih.gov/pubmed/31557912
http://dx.doi.org/10.3390/s19194153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806057/
https://www.ncbi.nlm.nih.gov/pubmed/31557912
http://dx.doi.org/10.3390/s19194153

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