M. Gajda

XGBoost Regression Model for Remaining Useful Life Prediction - Case Study of Turbofan Engines

This paper focuses on the prediction of Remaining Useful Life (RUL) for turbofan engines in the context of Predictive Maintenance (PdM) in Industry 4.0. The study is based on the NASA C-MAPSS dataset and focuses on the development of a predictive stage, including data preprocessing, feature engineering, normalisation,...