Research on Aero-Engine Health Monitoring and Maintenance Strategies in the Context of Artificial Intelligence (2019–2024)

The sophistication of aero-engine health monitoring and maintenance methods is crucial for mission safety, overall operational efficiency, and resource management in aviation. In recent years, artificial intelligence (AI) technology has gained significant traction, and its advancements in data processing have contributed to the growth of the entire industrial sector. The application of AI in aircraft health monitoring and maintenance can facilitate the establishment of automated operation and maintenance systems, thereby ensuring flight safety and operational efficiency while maximizing cost savings. This paper presents a comprehensive investigation into the use of AI technology in airframe health monitoring and maintenance in recent years. The research findings indicate that current studies in this field face challenges such as a lack of sufficient vertical domain datasets, inadequate model robustness against nonlinear data, and a deficiency in automated system design on a global scale. In response to these challenges, this paper offers viable solutions and proposes a framework for an automated system for aero-engine health monitoring and maintenance methods.