中文摘要：

针对滚动轴承故障信号的调制特点和其需要依靠经验来选择共振高频带的缺点,提出一种改进经验模态分解（EMD）与谱峭度法结合的滚动轴承故障诊断方法。首先,通过EMD将滚动轴承故障信号分解为若干固有模态函数（IMF）;然后通过互信息、峭度、互相关性剔除虚假IMF分量,重构故障信号;最后利用谱峭度设计最优带通滤波器,并对滤波后的信号进行包络解调分析,提取滚动轴承故障特征。滚动轴承故障实验信号分析结果表明,改进EMD与谱峭度方法能有效提取滚动轴承故障特征,且比传统包络分析方法更具优势。

英文摘要：

According to the modulation characteristic of fault signals of rolling bearings and the disadvantages of depending on the experience to select resonance high frequency band,an improved empirical mode decomposition（EMD） and spectrum kurtosis method of rolling bearing fault diagnosis is put forward.First of all,the bearing fault signal are decomposed into a number of intrinsic mode functions（IMF） through the EMD method.Then,the false IMF components is eliminated through mutual information,kurtosis and cross- correlation,the fault signal is reconstructed.Finally,the optimal band pass filter is designed by using the spectral kurtosis,then analysis of envelope demodulation spectrum of the filtered signal is carried out,the fault feature of rolling bearing is extracted.The analysis results of rolling bearing experimental signal show that,the improved EMD and spectral kurtosis method can effectively extract the fault features of rolling bearing,and has more advantages than the traditional envelope analysis method.