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In order to satisfy the condition-based maintenance support strategy of airborne electronic equipment based on condition monitoring and improve the maintainability of equipment, a fault diagnosis method of health monitoring management based on on on-line detection, fault prediction and assistant decision-making is proposed to support the prediction and evaluation of the health status of airborne electronic equipment. By dividing sensitive threat areas of electronic functions of airborne electronic equipment, designing special threat early warning and monitoring circuits for these areas, monitoring functional hazards, establishing reasoning monitoring model for early warning and monitoring of monitoring circuit faults, locating the early warning faults combined with assistant decision-making, and realizing electronic equipment early warning and monitoring. Intelligent fault diagnosis. Through FMEA analysis and fault injection test, the early warning circuit, reasoning model and assistant decision-making can effectively predict and locate faults, have higher fault prediction coverage, improve the maintainability of airborne computers, reduce maintenance time, and have engineering application value in electronic equipment maintenance strategy.