Fleet State-Aware Aero-Engine Fleet Collaborative Maintenance: A PPO-Enhanced and Maintenance Urgency-Aware Decision Mechanism

As the aviation industry expands, aero-engine maintenance has become a critical research area due to its importance for safety and economic efficiency. This paper proposes a multi-element collaborative model that integrates flight plans, aero-engine fleets, and maintenance resources. A fleet state-aware collaborative maintenance decision mechanism is introduced, utilizing the proximal policy optimization (PPO) algorithm and a maintenance urgency-aware mechanism to optimize maintenance timing, objects, and actions. Simulation cases demonstrate the superiority and practical applicability of the proposed model, showing significant improvements in maintenance decision-making compared to classical approaches. By considering the interconnection of flight plan requirements, aero-engine health, and maintenance resource constraints, our model provides a robust framework for aero-engine fleet collaborative maintenance.