Enhanced Health Index Prediction of Power Transformers Using Optimized XGBoost and Oil Diagnostic Data

Reliable condition assessment of power transformers is crucial for maintaining the stability and efficiency of electrical power systems. This study presents an enhanced data-driven approach for predicting the Transformer Health Index (HI) using optimized Extreme Gradient Boosting (XGBoost) and comp...

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Principais autores:	Hassane EZZIANE, Meziane KACI, Slim ROUABAH, Abdelkader YOUSFI, Salem MERABTI
格式:	Artigo
語言:	Inglês
出版:	Laboratory of Signals and Systems 2026-03-01
叢編:	Algerian Journal of Signals and Systems
主題:	Power transformers health index oil diagnostics dissolved gas analysis (DGA) XGBoost machine learning
在線閱讀:	https://ajss.dz/index.php/ajss/article/view/301
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