Improved Winding Mechanical Fault Type Classification Methods Based on Polar Plots and Multiple Support Vector Machines

Improved Winding Mechanical Fault Type Classification Methods Based on Polar Plots and Multiple Support Vector Machines

The accurate and fast diagnosis of transformer winding deformation faults is of significance to power suppliers and utilities. An improved winding mechanical deformation fault classification method is proposed. In this study, the transformer frequency response data is used to draw polar plots, and t...

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Bibliographic Details
Main Authors: Jiangnan Liu, Zhongyong Zhao, Kai Pang, Dong Wang, Chao Tang, Chenguo Yao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Transformers
fault diagnosis
fault detection
frequency response
support vector machines
genetic algorithms
Online Access:https://ieeexplore.ieee.org/document/9273015/

Internet

https://ieeexplore.ieee.org/document/9273015/

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