Interpretable RUL Prediction via Hybrid Deep Evidential clustering for Aero-Engine Health Monitoring
Remaining Useful Life (RUL) prediction is critical for predictive maintenance in safety-critical systems such as aerospace engines. While deep learning models achieve high predictive accuracy, they often lack interpretability and reliable uncertainty estimation. This paper proposes the Hybrid Deep Evidential Clustering...