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For the demand of airlines to manage the health conditions of large number of aircraft engines, based on the establishment of engine health management cloud data center, a cloud-based civil engine health management system was established; The system is of outstanding advantages for verifying the validity of the engine fault diagnosis methods, and also of important value for realizing collaborative analysis with a variety of methods in engine fault diagnosis. Finally, a grey fault recognition method based on grey incidence analysis was proposed, by the example of using grey fault recognition method to implement the typical gas path performance fault diagnosis of JT9D-7R4 engines in the cloud platform, it was indicated that the engine health management system in cloud is effective in the aero-engine fault diagnosis.