Yao Ni

Risk-Aware Predictive Maintenance for Aero-Engines via CVaR-Guided Reinforcement Learning and LLM-Based Risk Abstraction

The Risk-Aware Predictive Maintenance framework, consisting of four integrated components, achieves a 96.0% optimal stopping rate with no late interventions or failure events compared with 90.2% for the strongest independent maintenance baseline and demonstrates that the decision benefit of RAPM extends across independ...