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For the situation that the current aero-engine monitoring systems don’t analyze the vibration signal comprehensive enough, we have developed an aero-engine online vibration monitoring system. This system is divided into two parts, on the aircraft and on the ground. If the vibration is abnormal when online monitoring, the system will alarm. The system analyzes the acquisition vibration signal through a variety of vibration signal analysis methods to obtain various characteristics for fault diagnosis. We propose to use neural network and expert system to diagnose the faults respectively and then combine the two diagnostic results to give the final conclusion. The system use the database to manage data and we have done some detailed settings for data management. And we also have done some settings for the real-time monitoring display. The system also has reports function. We have verified the system on the aero-engine test stand. It’s proved that the system can monitor the vibration and diagnose the faults well.