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the possibility of the development of space information network (SIN) was discussed in this paper, and a novel fault self- diagnosis method was developed. There is limited research of space information network, especially in fault diagnosis domain. This paper gives expectation about future SIN features, and based on these features proposes a fault self-diagnosis algorithm based on finite-state machine. We design a series of novel fault detectors through which multiple satellites nodes can cooperate with each other in a diagnosis task. The fault detectors encode the diagnosis process to state transitions. Each satellites can participate in the fault diagnosis by transiting the detector's current state to a new one based on local evidence and then pass the fault detector to other satellites.

A Novel Fault Self-diagnosis Algorithm Based on Finite-state Machine for Space Information Network