Aero-engine health management is a practical technology with aero-engine data as the core, equipment maintenance business as the goal-oriented, and data in-depth mining as the means, involving in-depth analysis of aero-engine performance, lubricating oil, vibration data, engine intelligent model construction, application of artificial intelligence algorithms, etc., which have both the integration of multiple systems and the integration of multiple technical systems. Based on digital twin technology, according to the fault characteristics, existing data conditions and health management needs of aero-engines, the fault prediction and health management at home and abroad are studied and analyzed, covering condition monitoring and analysis, sub-health state diagnosis, performance decline trend tracking and analysis, fault prediction and life management, etc., so as to realize predictive diagnosis and corresponding maintenance support for engines, so as to improve the safety during flight missions and the reliability of planned execution, and lay the foundation for continuous research on aero-engine health management. Provide technical support for the real sense of maintenance according to the situation.