基于分形理论的旋转机械故障诊断的研究  

Fault Diagnosis of Rolling Bearings Based on Fractal Theory

作　　者：杨永发[1] 张杨[1] 许鹏辉[1] 

机构地区：[1]西南林学院交通机械与土木工程学院,昆明650224

出　　处：《煤矿机械》2008年第2期207-208,共2页Coal Mine Machinery

摘　　要：针对旋转机械振动信号的特点,从分形原理出发,利用分形维数的概念,对由旋转机械故障产生的非平稳、非线性信号进行了分形特征的定量描述。试验结果表明,旋转机械不同故障出现时,其分形维数明显不同。因此,可以利用分形维数有效地诊断出旋转机械的故障。By researching the characteristic of rotating machine, a new quantificational definition about fault signals of rolling bearings is proposed. Based on fractal theory and the conception of fractal dimension, it can describe both non - stationary and nonlinearity signals of vibration signals generated by rolling bearings. Experiment results show that the fractal dimensions are different in the difference of fault types. The fault pattem recognitions of rolling bearings are effective and accurate.

关 键 词：滚动轴承 分形 关联维数 故障诊断 

分 类 号：TP306[自动化与计算机技术—计算机系统结构] TH133.33[自动化与计算机技术—计算机科学与技术]