Study Of Aero-engine Intelligent Monitoring Based On Information Fusion Technology

Aero-engine plays a key role in the process of aircraft development. So it is very important to monitor the running state of aero-engine. The function of aero-engine monitoring system is faultiness at present. It is difficult to obtain satisfactory results only through unilateral fault symptom information to diagnose, and diagnosis accuracy is lower. It is required to unite lots of oil monitoring technology, combine with information fusion effectively, make use of various methods, exert respective advantages fully, to monitor aero-engine completely and diagnosis fault exactly. Thus it will make the aero-engine monitoring system develop towards to the direction of integration, systematization, intelligent.Based on information fusion technology, this paper firstly introduces intelligent fusion analysis methods such as artificial neural network and D-S evidence theory, studies wear particles recognition based on image analysis and energy dispersive X-ray analysis. The fault diagnosis results are gained through analyzing the characteristic parameter of wear particles and chemistry element content. Then, the information fusion analysis model is established in order to study the intelligent fusion monitoring system of aero-engine through fusing wear particles recognition and energy dispersive X-ray analysis. Through fusing multiple analysis technology, the accuracy of fault diagnosis is increased, the analysis results is more exact. Finally, the software of aero-engine intelligent monitoring system based on information fusion technology is developed preliminarily.