Abstract: The existing purely data driven spacecraft health monitoring technology cannot cover the area without measurement and control, and the telemetry data is limited, so that it cannot meet the needs of space missions with complex functions, diversified tasks, and long term orbit. A model and data hybrid driven spacecraft health monitoring system architecture is proposed. The system is based on a credible digital model, combined with on orbit real time telemetry data, to achieve full time, continuous and reliable status monitoring and status prediction of the spacecraft. In this paper, the design of the core technologies  is described in detail, including model implementation and correction, consolidation of telemetry data and model, and fault diagnosis. The application and verification of the framework during a certain type of spacecraft mission is further described.

Key words: health monitoring, system architecture, data fusion, digital model, fault diagnosis