Fault Diagnosis for Power Transformers through Semi-Supervised Transfer Learning

The fault diagnosis of power transformers is a challenging problem. The massive multisource fault is heterogeneous, the type of fault is undetermined sometimes, and one device has only met a few kinds of faults in the past. We propose a fault diagnosis method based on deep neural networks and a semi...

Descripción completa

Detalles Bibliográficos
Autores principales: Mao, Weiyun, Wei, Bengang, Xu, Xiangyi, Chen, Lu, Wu, Tianyi, Peng, Zhengrui, Ren, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231397/
https://www.ncbi.nlm.nih.gov/pubmed/35746252
http://dx.doi.org/10.3390/s22124470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231397/
https://www.ncbi.nlm.nih.gov/pubmed/35746252
http://dx.doi.org/10.3390/s22124470

Ejemplares similares