A Hybrid Random Forest–XGBoost Framework for Power Transformer Health Index Prediction
In this study, a health index prediction framework for the power transformer is developed based on machine learning (ML) for evaluating the reliability and operational state of it. The feature engineering and Gaussian noise-based data augmentation are performed on the dataset to select the appropriate features and gene...