关键词: 电喷发动机, 粗糙集, 神经网络, 故障诊断

Abstract: The information of refleeting the EFI engine running state is complicated，the relationship between fault and numerous stating information is uncertain and fuzzy．The key of EFI engine fault diagnosis process is how to acquiring and using valuable information from those compucliated multi-source information．Inthis paper,rough sets theory was applied to reduction of incomplete information to find necessary conditions for diagnosis．and according to the results of reduction the fault diagnosis system of based on neural networks was founded．The comparison results of network training indicated that the structure of neural network was simplified by reduction process of based on rough sets theory and efficiency of network training was enhanced；the feasibility of application of rough sets integrated with neural networks to fault diagnosis of EFI engine was verified by the practical example．

Key words: EFI engine, rough sets, neural network, fault diagnosis