A Novel Transformers Fault Diagnosis Method Based on Probabilistic Neural Network and Bio-Inspired Optimizer

Since it is difficult for the traditional fault diagnosis method based on dissolved gas analysis (DGA) to meet today’s engineering needs in terms of diagnostic accuracy and stability, this paper proposes an artificial intelligence fault diagnosis method based on a probabilistic neural network (PNN)...

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Detalles Bibliográficos
Autores principales: Tao, Lingyu, Yang, Xiaohui, Zhou, Yichen, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196968/
https://www.ncbi.nlm.nih.gov/pubmed/34070963
http://dx.doi.org/10.3390/s21113623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196968/
https://www.ncbi.nlm.nih.gov/pubmed/34070963
http://dx.doi.org/10.3390/s21113623

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