A Novel Fault Diagnosis Method for Power Transformer Based on Dissolved Gas Analysis Using Hypersphere Multiclass Support Vector Machine and Improved D–S Evidence Theory

A Novel Fault Diagnosis Method for Power Transformer Based on Dissolved Gas Analysis Using Hypersphere Multiclass Support Vector Machine and Improved D–S Evidence Theory

Power transformers are important equipment in power systems and their reliability directly concerns the safety of power networks. Dissolved gas analysis (DGA) has shown great potential for detecting the incipient fault of oil-filled power transformers. In order to solve the misdiagnosis problems of...

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Bibliographic Details
Main Authors: Haikun Shang, Junyan Xu, Zitao Zheng, Bing Qi, Liwei Zhang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
power transformer
dissolved gas analysis
fault diagnosis
hmsvm
d–s evidence theory
Online Access:https://www.mdpi.com/1996-1073/12/20/4017

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