基于IVMD和马田系统的滚动轴承故障检测方法

针对滚动轴承运转信号单一特征参数对早期故障的敏感性、可靠性问题,提出一种基于IVMD和马田系统的滚动轴承故障诊断方法。该方法首先根据谱相关系数确定VMD分解层数;其次,通过VMD方法对机械振动信号进行处理得到一系列有限带宽固有模态函数,并计算各模态函数的特征参数,在此基础上构建MTS系统的基准空间。引用信噪比的方法筛选有效特征变量,并重新构建MTS的基准空间。最后,计算待诊断信号到基准空间的马氏距离来检测轴承故障,建立滚动轴承早期故障的诊断控制指标。

Fault Diagnosis of Rolling Bearing Using Mahalanobis-Taguchi System Based on IVMD

Aiming at the sensitivity and reliability of the single characteristic parameters of rolling bearing operation signal to early faults, a rolling bearing fault diagnosis method based on IVMD and Mahalanobis-Taguchi system was proposed. The method firstly determined the number of layers of the variational modal decomposition based on the spectrum correlation coefficient; and secondly, the modified variational mode decomposition was used to decompose the mechanical vibration signal to obtain a series of band-limited intrinsic mode functions, and calculated the characteristic statistical components of each modal component. Then, the base space of the MTS system on this basis was built. The SNR method was used to screen effective feature variables, and the benchmark space of MTS system was rebuilt. Finally, the Mahalanobis distance from the diagnostic signal to the reference space was calculated to detect the initial fault, and the diagnostic control index of the early fault of the rolling bearing was established.