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《Journal of Vibration and Shock》 2011-02
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Roller bearing fault detection using improved envelope spectrum analysis based on EMD and spectrum kurtosis

CAI Yan-ping,LI Ai-hua,SHI Lin-suo,BAI Xiang-feng,SHEN Jin-wei(Department No.5,the Second Artillery Engineering College,Xi'an 710025,China)  
According to modulation characteristics of roller bearing fault vibration signals and limitation of traditional envelope analysis,a roller bearing fault diagnosis method using improved envelope analysis based on empirical mode decomposition(EMD) and spectrum kurtosis(SK) was proposed here.Firstly,roller bearing fault vibration signals were decomposed into a finite number of intrinsic mode functions(IMFs).Secondly,FFT transformation was used to make each IMF into a spectral signal and calculate their absolute values,then spectrum kurtosis values were calculated using each IMF spectral absolute value square envelope.Finally,using the filtering function of the spectrum kurtosis,the best frequency band for demodulation was automatically chosen with the criterion of IMFs spectrum kurtosis.The proposed method was applied to simulated signals and actual signals,the analysis results demonstrated the effectiveness of the proposed method.
【Fund】: 博士后科学基金项目(20070411116);; 学院创新性基础研究基金项目(XY2009JJB33)
【CateGory Index】: TH133.33;TH165.3
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