A Novel Fault Diagnosis System on Polymer Insulation of Power Transformers Based on 3-stage GA–SA–SVM OFC Selection and ABC–SVM Classifier

A Novel Fault Diagnosis System on Polymer Insulation of Power Transformers Based on 3-stage GA–SA–SVM OFC Selection and ABC–SVM Classifier

Dissolved gas analysis (DGA) has been widely used in various scenarios of power transformers’ online monitoring and diagnoses. However, the diagnostic accuracy of traditional DGA methods still leaves much room for improvement. In this context, numerous new DGA diagnostic models that combin...

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Bibliographic Details
Main Authors: Xiaoge Huang, Yiyi Zhang, Jiefeng Liu, Hanbo Zheng, Ke Wang
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Polymers
Subjects:
artificial bee colony (ABC)
dissolved gas analysis (DGA)
fault diagnosis
genetic algorithm (GA)
power transformers
simulated annealing (SA) algorithm
support vector machine (SVM)
Online Access:http://www.mdpi.com/2073-4360/10/10/1096

Internet

http://www.mdpi.com/2073-4360/10/10/1096

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