An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis

An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis

The power transformer is the core equipment of a power system, and its reliable operation is crucial for maintaining the safety and stability of power grids. Dissolved gases in insulating oil are an important information source for analyzing transformer operating status and fault diagnosis. At prese...

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Bibliographic Details
Main Authors:	Yujie Zhang, Jian Feng, Shanyuan Wang
Format:	Article
Language:	English
Published:	China electric power research institute 2025-01-01
Series:	CSEE Journal of Power and Energy Systems
Subjects:	Data spaces fault diagnosis genetic selection sample clustering
Online Access:	https://ieeexplore.ieee.org/document/9877998/
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