Application of Matrix Algorithm Based on Graph Theory in Real-time Fault Diagnosis Knowledge Perfection Detection of Spacecraft Telemetry Data

The complex spacecraft represented by the Tiangong space station will transmit a large amount of telemetry data through the downlink. Real-time fault diagnosis of telemetry data can effectively improve the timeliness of detecting the fault of the spacecraft, thereby effectively improves the quality of the ground test and flight control. In the rule-based real-time fault diagnosis expert system, the perfection of diagnosis knowledge will significantly affect the effectiveness of fault diagnosis. In this paper, the real-time fault diagnosis knowledge is abstracted into a directed graph, and the application of the matrix algorithm in detecting the incomplete state description of real-time fault
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diagnosis knowledge is studied.