Aeroengine Fault Diagnosis Based On Information Fusion Technology

Abstract:The fault diagnosis of aoroengine is main research areas in aeroengine industry. It has become one research focus in home and abroad currently. Information fusion is a subject formed recently, it has been researched and applied in many fields. But it is in starting stage in aeroengine, there are much available information in fault diagnosis. Only when the available information is used, call the precision and credibility be improved.Firstly, This text has described information fusion technology characteristic, form structure and concrete processing method, and application of information fusion in fault diagnosis proves the feasibility and validity from the angle of information theory. It is combined the fault diagnosis of aeroengine with information fusion, a method and model which the fault diagnosis of aeroegine information fusion is brought forward. A research which combined neural networks with D-S evidence is brought forward. Based on the analysis of single neural network characteristic, the model of roted neural network is put forward. With the simulation based on the example, We call know evidence theory fusion improved the fault diagnosis. It is hard to give the basic probability function in the process of using the evidence theory, so the model based on network and D-S evidence is put forword. The simulation of the example show it is feasible and effective. There are15figure,11table and52references in this paper.