Fault diagnosis of transformer using artificial intelligence: A review

Fault diagnosis of transformer using artificial intelligence: A review

Transformer is one of the important components of the power system, capable of transmitting and distributing the electricity generated by renewable energy sources. Dissolved Gas Analysis (DGA) is one of the effective techniques to diagnose early faults in oil-immersed transformers. It correlates the...

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Bibliographic Details
Main Authors: Yan Zhang, Yufeng Tang, Yongqiang Liu, Zhaowen Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Energy Research
Subjects:
fault diagnosis
power transformer
artificial intelligence
data mining
dissolved gas analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1006474/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.1006474/full

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