Diagnosing Fault Types and Degrees of Transformer Winding Combining FRA Method With SOA-KELM

Diagnosing Fault Types and Degrees of Transformer Winding Combining FRA Method With SOA-KELM

Power transformers are the vital and expensive components of the power system. Timely identifying and diagnosing the transformer faults is critical to maintaining the stability of the power grid. As a sensitive and economical tool, the frequency response analysis (FRA) method has been widely employe...

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Bibliographic Details
Main Authors: Guohao Wang, Shengxuan Qiu, Fei Xie, Tengqi Luo, Ying Song, Song Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Power transformer
frequency response analysis (FRA)
kernel extreme learning machine (KELM)
seagull optimization algorithm (SOA)
Online Access:https://ieeexplore.ieee.org/document/10491192/

Internet

https://ieeexplore.ieee.org/document/10491192/

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