Intelligent Fault Diagnosis System Research on AeroEngine

This paper, we take neural network technology into the field of test of aircraft engine endo scopic. introduced general framework of the diagnostic expert system of aircraft engines based on neural network and giving an improved reasoning method, established the BP network model, take the common faults of B747-200F´s CFM56 engine, for example, take a simulation test of fault diagnosis, and compared with the actual fault data, proved that the system can intelligently determine fault type, Which can further help quickly and accurately locate and solve the fault for aircraft maintenance personnel, and improving the work efficiency, so it has very greater practical value.