Research On EMD And Spectral Kurtosis For Weak Fault Diagnosis Of Rolling Bearing

Rolling bearing is widely used in various industrial field,it will affect the operation of the whole machine's function directly.Therefore,rolling bearing has very important significance for early fault diagnosis.In the early stage of the rolling bearing,the weak impact component is not obvious and often submerged in the noise signal.It can reduce the noise and improve the signal-to-noise ratio effectively,this is the key to rolling bearing weak fault diagnosis.This paper summarizes the research results and lessons of others and put forward a method of EMD and spectral kurtosis.Based on the weak fault information in the vibration signal of rolling bearing,the fault shock component in the signal is enhanced,and the weak fault of rolling bearing is diagnosed.Improved the level and efficiency of fault diagnosis,and ensure the stability and safety of the mechanical system.This paper includes the following contents:In view of the shortcomings of mode mixing in EMD,the excess IMF component in the low frequency band,spectral kurtosis has no adaptive.The method of EMD and spectral kurtosis are proposed.Spectral kurtosis is very sensitive to the fault signal and it can enhance the fault pulse signal effectively.Then combine spectral kurtosis with EMD to improve the efficiency and accuracy of EMD decomposition and the level of fault diagnosis.The method of EMD and spectral kurtosis are applied to the simulation signal and rolling bearing fault diagnosis.The experimental results show that the method of EMD and spectrum kurtosis can accurately judge the rolling bearing weak fault and have a good application prospect.