基于关联维数的铁路货车滚动轴承故障诊断

将关联维数用于定量刻划滚动轴承在不同工作状态下的振动特征,进而对故障分类。同时提出用小波分析对原始数据进行降噪处理。文中以铁路货车轴箱197 726双排圆锥滚子轴承为例,计算了正常轮对、滚子损伤和外圈剥离三种情况下降噪处理前后振动信号的关联维数,分析结果表明,滚动轴承不同工作状态下的关联维数有明显差别,因此可以将关联维数作为识别滚动轴承故障的特征量。

Fault Diagnosis of Rolling Bearing Based on Correlation Dimension

The correlation dimension is applied to describe the vibration characteristics of the rolling bearing in the different fault condition and classify faults of the rolling bearing.And wavelet analysis for reducing noise is introduced.The vibration signals of 197KG-*1/9]726 freight train rolling bearing under different working conditions are analyzed using the above methods.The result shows that the correlation dimension of vibration signal of the rolling bearing is different for the different condition of rolling bearing with defect in outer track,roll body and the normal.So the correlation dimension can be used as the characteristics for recognizing the rolling bearings'fault.