A Transformer Fault Diagnosis Model Based on Chemical Reaction Optimization and Twin Support Vector Machine

A Transformer Fault Diagnosis Model Based on Chemical Reaction Optimization and Twin Support Vector Machine

The condition monitoring and fault diagnosis of power transformers plays a significant role in the safe, stable and reliable operation of the whole power system. Dissolved gas analysis (DGA) methods are widely used for fault diagnosis, however, their accuracy is limited by the selection of DGA featu...

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Bibliographic Details
Main Authors: Fang Yuan, Jiang Guo, Zhihuai Xiao, Bing Zeng, Wenqiang Zhu, Sixu Huang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
transformer
fault diagnosis
dissolved gas analysis
twin support vector machines
chemical reaction optimization algorithm
restricted Boltzmann machine
Online Access:http://www.mdpi.com/1996-1073/12/5/960

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http://www.mdpi.com/1996-1073/12/5/960

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