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《Noise and Vibration Control》 2012-02
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xtraction of Transmission Bearing Fault Characters Based on EMD Fractal Technology

XIA Jun-zhong,LIU Yuan-hong,DAN Jia-bi,YANG Gang,XIAO Yun-kui(Automotive Engineering Department,Academy of Military Transportation,Tianjin 300161,China)  
Since the vibration signal of faulty bearing has fractal characteristics,the fault modes of a transmission bearing can be effectively identified by using fractal dimensions.However,the noise in the signal has a serious influence on the fractal dimension calculation,so empirical mode decomposition(EMD) method is necessary for solving the problem.In this article,the vibration signal of the transmission bearing was decomposed into intrinsic mode function(IMF) components by EMD,and then the fractal dimensions of these components were calculated to extract the fault characters of the transmission bearing in different conditions.The results show that EMD method is able to separate signals in different frequency bands effectively,and the fractal dimensions of specific IMF components are able to reflect the working state of the transmission bearing sensitively,which can be selected as the characteristic parameters to diagnose the transmission bearing's fault.The combination of EMD and fractal dimension is an effective method of transmission bearing's fault character extraction.
【CateGory Index】: TH165.3
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