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

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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Bibliographic Details
Main Authors: Lingyu Tao, Xiaohui Yang, Yichen Zhou, Li Yang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
improved salp swarm algorithm
sine cosine algorithm
probabilistic neural network
disruption operator
power transformer
fault diagnosis
Online Access:https://www.mdpi.com/1424-8220/21/11/3623

Internet

https://www.mdpi.com/1424-8220/21/11/3623

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