Predicting the insulating paper state of the power transformer based on XGBoost/LightGBM models

Predicting the insulating paper state of the power transformer based on XGBoost/LightGBM models

Abstract Power transformer plays a crucial role in the power networks. Most of the transformer malfunctions was due to failure in the insulating systems. The utilities keen on the contentious operation of the power network, so early detection of the transformer faults avoiding the undesirable outage...

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Bibliographic Details
Main Authors: Sherif S. M. Ghoneim, Mohammed Baz, Ali Alzaed, Yohannes Tesfaye Zewdie
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Power transformer
Insulating paper
Insulating oil
Dissolved gas analysis
Furnic compounds
XGBoost/LightGBM
Online Access:https://doi.org/10.1038/s41598-025-03033-4
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https://doi.org/10.1038/s41598-025-03033-4

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