Spacecraft autonomous fault diagnosis method based on state memory

In order to avoid the unnecessary consumption of large amount of calculation caused by neglecting the influence of the last diagnostic result on the current diagnosis process in the traditional first principle theory based method when autonomous diagnosing, a new approach based on the state memory is proposed. By introducing the state memory mechanism into the traditional method, the meanings of diagnosis and conflict are extended. In order to obtain the general conclusions about diagnosis solution of the first principle diagnosis theory, the structure of the diagnostic results is analyzed, and the conclusions prove that the diagnosis efficiency of the new method is better than the traditional method. By introducing the “timestamp” and “state-lock”, the method can diagnose correctly with different input modes of observation autonomously.