Researchers from KFUPM validated ML models such as XGBoost and DNN to classify insulator contamination with accuracies above 98%. Using real experimental data and Bayesian optimization, the study highlights how ML can enhance predictive maintenance and efficiency in power infrastructure.
Q&A
- What is leakage current?
- Which machine learning models were implemented?
- How was the experimental validation performed?