H. Kaftelen-Odabaşı

Seasonal Feature Augmentation for Interpretable Turbofan RUL Prediction via Bayesian-Optimized XGBoost

The operational safety and sustainability of gas turbine engines in the aviation industry are directly contingent upon the accurate prediction of the Remaining Useful Life (RUL) of critical components. Existing RUL prediction models in the aviation literature predominantly focus on in-engine sensor data, largely overlo...