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Nowadays, during rocket launch, the decision-making partly depend on the results of the rocket status inspection. But we know the fast and precisely detect and diagnose of rocket faults is a conflict problem in many cases of bulk information processing. In this paper three methods are proposed. First, a distributed system structure is built in order to save time of information transmission and processing. Then a hierarchical-reasoning strategy is introduced. The last method is on reasoning which using reverse and deep reasoning strategy. The proposed strategies have been applied in a prototype assistant decision-making system for rocket launch system.

Fast fault diagnosis expert system for rocket launch