Abstract:The modern war mode puts forward higher requirements for the responsiveness, accuracy, visibility, and self-coordination of equipment support, while traditional passive support methods have problems such as inaccurate information, poor coordination capabilities, and untimely support response, which are in urgent need of use the current advanced cyber-physical fusion technology realizes the active guarantee of "precision" and "agile". Aiming at the needs of active equipment support management and the difficulty of establishing a component/system mathematical model for aviation equipment, a method of state collaborative analysis and intelligent support decision-making is proposed. This method generates test data through offline and online execution of fault test cases; based on online state monitoring and historical data of sensors, the equipment state is estimated and judged, thereby providing intelligent guarantee decision-making services. The aircraft fuel system is selected as the object to verify the effectiveness of the proposed method and lay a technical foundation for the development of active equipment support systems.