Fault diagnosis method for rolling bearings based on EEMD and autocorrelation function kurtosis
LIU Yongqiang1，3,LI Cuixing1,LIAO Yingying2，3
1.School of Mechanical Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China；
2.School of Civil Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China；
3.Key Laboratory of Traffic Safety and Control in Heibei,Shijiazhuang 050043,China
Abstract：Considering that fault shock signals of rolling bearings have the features of periodicity and easily immerging in background noise,a fault diagnosis method based on the EEMD and autocorrelation function kurtosis was proposed. Bearing fault signal was decomposed by EEMD method,and according to the autocorrelation function kurtosis and the kurtosis criterion,the IMF components,which contain much more fault information,were chosen to reconstruct a new composite signal. By virtue of the spectral kurtosis analysis of the new composite signal,a band-pass filter was designed. The new composite signal was filtered by the band-pass filter,further envelope demodulated and then compared with the theoretical failure frequency. A case study on bearing faults simulations and experiments verifies the effectiveness and feasibility of the method proposed.
刘永强1，李翠省1，廖英英2. 基于EEMD和自相关函数峰态系数的轴承故障诊断方法[J]. 振动与冲击, 2017, 36(2): 111-116.
LIU Yongqiang1，3,LI Cuixing1,LIAO Yingying2，3. Fault diagnosis method for rolling bearings based on EEMD and autocorrelation function kurtosis. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(2): 111-116.
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