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...
Main Authors: | Fang Yuan, Jiang Guo, Zhihuai Xiao, Bing Zeng, Wenqiang Zhu, Sixu Huang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
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Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/12/5/960 |
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