2 papers
cs.LG2026
Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions
Aurelio Raffa Ugolini, Jessica Leoni, Valentina Breschi +4
We present a novel Explainable methodology for Condition Monitoring, relying on healthy data only. Since faults are rare events, we propose to focus on learning the probability dis…
cs.LG2025
A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions
Damiano Paniccia, Francesco Aldo Tucci, Joel Guerrero +4
Rotorcraft engines are highly complex, nonlinear thermodynamic systems that operate under varying environmental and flight conditions. Simulating their dynamics is crucial for desi…