SVD分量包络检测方法及其在滚动轴承早期故障诊断中的研究

SVD component-envelope detection method and its application in the incipient fault diagnosis of rolling bearing

针对滚动轴承早期故障的诊断问题,提出了SVD分量包络检测方法。该方法首先利用奇异值分解对一维采样时间序列进行高维空间重构,然后寻找到包含故障特征信息的子空间。再对子空间逆变换得到的分量信号进行包络分析,得到该包络信号的频谱并在该频谱中检测到滚动轴承的早期故障特征。仿真和工程实验结果验证了所提方法的有效性。

In order to diagnose the incipient fault of a rolling bearing,an approach for incipient fault diagnosis using the component-envelope detection method is presented in this paper.SVD is first used to reconstruct the one-dimensional sampling time sequence into high dimensions space.Then subspace containing fault feature information can be found.An inverse transformation is performed to change this subspace into component signal.With envelope analysis,the envelope spectrum of the component signal is obtained.Through the envelope spectrum,the incipient fault feature of rolling bearing can be detected obviously.Both simulation and engineering experimental results validate the effectiveness of the proposed method.