滚动轴承故障监测诊断中的自适应滤波算法

Adaptive Filtering Algorithm in Fault Diagnosis of Rolling Bearings

针对滚动轴承故障分析诊断中的载波带选择过程进行研究,提出了基于峭度指标的自适应最优滤波算法,仿真和试验台的研究结果表明,此算法不仅能够准确地诊断出轴承故障,以全自动的方式实现滤波过程,而且自适应最优滤波算法的故障诊断效果远远优于固定滤波算法和基于小波包变换的滤波算法。

The filter process of rolling bearing fault diagnosis is studied and an adaptive optimal filtering algorithm is proposed,which is based on kurtosis index.The results of the experiment and engineering show that automatic filtering process can be achieved by the adaptive optimal filtering algorithm,giving the accurate fault diagnosis of rolling bearings.Comparing the effect of bearing fault diagnosis,it is illustrated that adaptive optimal filtering algorithm is much better than the fixed filtering and wavelet packet transform filter algorithm.