Abstract：Considering the shortcoming of the maximum correlated kurtosis deconvolution(MCKD) method of being necessary to foreknow the precise fault feature period of rolling element bearings,a new fault diagnosis method was proposed for rolling element bearings based on the MCKD combined with the multipoint kurtosis spectrum(Mkurt spectrum).First,sampled signals were processed by the multipoint kurtosis spectrum method,through comparing the multipoint kurtosis of output signals from the deconvolution with different periods to modify the anticipated fault feature period.Next,the optimized fault feature period was put into the MCKD algorithm to strengthen the cyclical fault impact characteristics in the original signals.Then,the fault type was identified through the envelope demodulation.The analysis on the simulation signals,outer ring fault signals of a 6205 bearing and multi-fault railway wagon wheel set bearing signals show that the method proposed can realize the fault diagnosis of rolling element bearings effectively,even on the condition without the knowledge of accurate speed,which is of a high value of engineering application.
刘文朋1，廖英英2，杨绍普1，刘永强1，顾晓辉1. 一种基于多点峭度谱和最大相关峭度解卷积的滚动轴承故障诊断方法[J]. 振动与冲击, 2019, 38(2): 146-151.
LIU Wenpeng1，LIAO Yingying2，YANG Shaopu1，LIU Yongqiang1，GU Xiaohui1. Fault diagnosis of rolling bearings based on multipoint kurtosis spectrums and the maximum correlated kurtosis deconvolution method. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(2): 146-151.
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