【摘要】 针对滚动轴承故障振动信号的非平稳性,提出了一种基于小波包和AR谱分析的滚动轴承故障诊断方法。该方法对系统输出信号进行小波包分解,然后进行重构,再对重构信号进行AR谱分析,从而提取出故障特征频率。试验结果表明,这种方法能有效地提取滚动轴承的故障特征,诊断其故障。更多还原

【Abstract】 According to the non-stationary characteristics of vibration signals from fault roller bearings,a fault diagnosis approach for roller bearings based on wavelet packet and AR(Auto—Regressive) spectrum analysis is proposed.The method gets the wavelet packet decomposition of the system output signal,and then reconstructs it,extracts the fault characteristic frequency through the AR spectrum analysis of reconstructed signal.The experiment shows that the method can extract effectively the fault characteristics of rolling bearing and detect its failure.更多还原