GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory

Distinguishing the types of partial discharge (PD) caused by different insulation defects in gas-insulated switchgear (GIS) is a great challenge in the power industry, and improving the recognition accuracy of the relevant models is one of the key problems. In this paper, a convolutional neural netw...

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Detalles Bibliográficos
Autores principales: Liu, Tingliang, Yan, Jing, Wang, Yanxin, Xu, Yifan, Zhao, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235553/
https://www.ncbi.nlm.nih.gov/pubmed/34207466
http://dx.doi.org/10.3390/e23060774

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235553/
https://www.ncbi.nlm.nih.gov/pubmed/34207466
http://dx.doi.org/10.3390/e23060774

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