关键词: 磨损故障, 航空发动机, 粗糙集, 集成神经网络

Abstract:

Rough sets theory combined with Neural Network was applied to intelligent diagnosis system, based on the importance of attribute and the consistency of decision table, SOM(self-organizing map) neural network was employed to discretize continuous data. Then rough sets theory was applied to reduce attribute and extract the primary feature which will be the foundation of structuring the sub-network. The final conclusions are reached by combing the results of sub-networks based on D-S(dempster-shafer) evidence theory. The method was applied to diagnosis the aero engine wear fault.Example shows the validity of the method proposed.

Key words: wear fault, aero engine, rough set, integrated neural network