基于线调频小波路径追踪的滚动轴承故障特征提取

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (13) : 155-160.

论文

程卫东，刘东东，赵德尊

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Fault Feature Extraction of Rolling Bearing Based on Chirplet Path Pursuit

CHENG Wei-dong LIU Dong-dong ZHAO De-zun

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文章历史 +

摘要

针对齿轮噪源以及变转速的工作条件双重干扰下的滚动轴承的故障诊断，提出了一种基于线调频小波路径追踪的滚动轴承故障特征提取方法。首先，对混合信号进行Hilbert变换得到包络信号，并在满足采样定理的条件下对包络信号进行降采样；然后，对降采样包络信号应用线调频小波路径追踪算法提取轴承的瞬时故障特征频率趋势线，再对轴承的瞬时故障特征频率趋势线和转速曲线进行等时间重采样，并求各时间点的计算瞬时故障特征系数；最后，根据计算瞬时故障特征系数与轴承的外圈、内圈和滚动体的故障特征系数进行比较，完成故障诊断。通过处理仿真信号和实测信号证明了该方法在不对混合信号进行滤波和使用阶比分析的情况下，不仅能检测滚动轴承是否出现故障，而且能确定故障的发生位置。

Abstract

The method of fault diagnosis of rolling element bearing under a variable rotational speed and gear vibration noise based on chirplet path pursuit is proposed in this paper. At first, get the envelope signal of the original vibration signal based on Hilbert transformation and reduce the envelope signal under the condition of satisfying the sampling theorem. Then, extract the instantaneous fault characteristic frequency curve of the fault bearing by the chirplet path pursuit and resample the instantaneous fault characteristic frequency(IFCF) curve and rotation speed curve of the bearing. Finally, the fault diagnosis is completed by the comparison of the calculating instantaneous fault characteristic coefficient(CIFCC) with the fault characteristic coefficient(FCC) of the outer ring, inner ring and rolling element. It is proved that the method can not only detect the fault of rolling bearing, but also can determine the fault location by processing the simulation signal and experimental signal without filtration and order analysis.

导出引用

程卫东，刘东东，赵德尊. 基于线调频小波路径追踪的滚动轴承故障特征提取[J]. 振动与冲击, 2017, 36(13): 155-160

CHENG Wei-dong LIU Dong-dong ZHAO De-zun. Fault Feature Extraction of Rolling Bearing Based on Chirplet Path Pursuit[J]. Journal of Vibration and Shock, 2017, 36(13): 155-160

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