基于关联维数的滚动轴承故障诊断的研究

针对滚动轴承系统产生的非线性振动信号的特点，提出用关联维数来描述轴承振动信号的工作状态，进而对其进行故障诊断的方法。同时详细讨论了关联维数的计算方法，并对由轴承系统产生的非线性振动信号进行了关联维数的定量计算。实验表明，滚动轴承不同工作状态由不同的动力学机理产生，其关联维数明显不同。以关联维数作为滚动轴承的工作状态监测的依据，可以为提高滚动轴承故障诊断的准确率提供了一种有效的新方法。

Research on Fault Diagnosis of Rolling Bearing Based on Correlation Dimension

Fractal feature,as a new technique of signal processing,is suitable for analyzing the fault signals of rotating machine.By researching the characteristic of non-linear vibration signals of rolling bearings,a study of correlation dimension in analyzing the vibration signals and diagnosing the fault of rolling bearings is proposed.Correlation dimension algorithm is presented in details and quantificational calculation of non-linear vibration signals generated by bearing system is also discussed.Experimental results show that kinematics mechanisms of rolling bearing result in the different working state,so the correlation dimensions are different evidently.The application of correlation dimension in monitoring working state is a new approach to promote the accuracy of rolling bearings.