基于声发射技术对滚动轴承的典型缺陷进行了检测分析,并对其缺陷尺寸进行了测量.针对声发射信号的复杂性,提出了一种新的“时域+频域”的信号处理方法,利用短时绝对均值及自相关函数相结合的方法对声发射信号进行处理,可以简单而有效地提取出轴承的缺陷特征频率.结合具体试验,分析了滚动体进入缺陷区域时和离开缺陷区域时的信号特点,利用其时间差对轴承的缺陷尺寸进行了识别测量,结果证明了方法的有效性和可信性.

Acoustic Emission technology was used to diagnose the typical defect of rolling bearing and identify the size of fault.A new processing way of so-called time domain plus frequency domain was proposed for the complicated AE signals,which were processed by combining short-time absolute average and autocorrelation function to extract bearing characteristic frequency simply and effectively.In addition,through researching on the AE signal of bearing rollers in some particular experiments and analyzing the character of the rolling entry into and depart from the fault area,then the time difference between entry and depart can be calculated and the fault width of bearings can be identified.The experiment results prove the way of defect diagnosis and fault size identification is effective and believable.