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Now civil aircraft fault diagnosis methods have been used in many engineering applications. Most methods considered only a single case-based or rule-based diagnostic method, so the efficiency of the diagnosis methods need to be improved. It proposed and studied a fault diagnosis method based on the fusion of case and rule reasoning, and introduced the method into the fault diagnosis system of civil aircraft ground operations support system. In the proposed method, rule-based reasoning is a leading part, and the case-based reasoning is a rear complementary part, therefore it can maximize the use of aircraft Fault Isolation Manual (FIM) and case knowledge extracted from the maintenance records. Thereby it can increase first-time fix rate and reduce the invalid troubleshooting time. Taking the typical failure in an aircraft system as an experiment, the reasoning mechanism in fault diagnosis was illustrated. The historical flight data tests verified the effectiveness of the proposed fusion diagnosis method based on case and rule. The design of fault diagnosis based on the proposed method can provide a reference of building a more perfect expert system for civil aircrafts..