基于混沌动力学的滚动轴承故障诊断研究

为了研究旋转机械非平稳信号的非线性动力学特征,探索旋转机械故障诊断方法,以滚动轴承为研究对象,采用嵌入式传感器获取滚动轴承振动信号,通过计算滚动轴承振动时间序列的关联维数、Kolmogorov熵等混沌特征量,提取设备运动状态特征,并对其进行了详细分析。结果表明：该方法可以实现对滚动轴承的故障诊断,从而为旋转机械的故障诊断提供了一种新的方法。

Research on Fault Diagnosis of Rolling Bearing Based on Chaos Dynamics

In order to investigate the dynamic nonlinearities of unsteady signals of rotating machinery and the method of fault diagnosis of rotating machinery, with the rolling bearing as the object, the vibration signals of rolling bearing is obtained by using embedded sensor. Through calculating correlation dimension of vibrating timing series and chaos eigenvalues of Kolmogorov entropy, etc. , the eigenstates of equipment are extracted and analyzed. The results show that the method can implement the fault diagnosis of rolling bearing effectively, and thus it provides a novel approach to fault diagnosis of rotating machinery.