基于集成阶频谱相关的滚动轴承故障特征提取

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (23) : 78-83.

论文

夏均忠，汪治安，陈成法，吕麒鹏，刘鲲鹏

作者信息 +

Fault feature extraction for rolling bearing based on integrated order-frequency spectral correlation

XIA Junzhong， WANG Zhi’an， CHEN Chengfa， L Qipeng， LIU Kunpeng

Author information +

文章历史 +

摘要

变转速工况下，传统的循环平稳方法不能有效提取滚动轴承故障特征，提出基于集成阶频谱相关的滚动轴承故障特征提取方法。通过研究角度/时间循环平稳理论，指出阶频谱相关可以有效提取变转速下滚动轴承故障特征，应用循环调制谱实现离散信号的阶频谱相关估计，在此基础上计算信号的集成阶频谱相关，提取轴承故障特征阶次。对仿真和实验数据分析表明：集成阶频谱相关不仅可以有效提取变转速工况下滚动轴承故障特征，且较之阶频谱相关，具有更加清晰直观的表达效果。

Abstract

Under varying speed condition,the conventional cyclic stationary method can’t effectively extract rolling bearing fault characteristics.Here,a rolling bearing fault feature extraction method based on the integrated order-frequency spectral correlation was proposed.Through studying the angle/time cycle stationary theory,it was shown that the order-frequency spectral correlation method can effectively extract rolling bearing fault characteristics under variable speed condition.The order-frequency spectral correlation estimation of discretized signals was realized using the cyclic modulation spectrum,and then a signal’s integrated order-frequency spectral correlation was calculated to extract bearing fault’s characteristic order.The analysis of simulation and test data showed that the integrated order-frequency spectral correlation can effectively extract rolling bearing fault characteristics under variable speed condition; it has a clearer and more intuitive expression effect compared to the order-frequency spectral correlation.

导出引用

夏均忠，汪治安，陈成法，吕麒鹏，刘鲲鹏. 基于集成阶频谱相关的滚动轴承故障特征提取[J]. 振动与冲击, 2018, 37(23): 78-83

XIA Junzhong， WANG Zhi’an， CHEN Chengfa， L Qipeng， LIU Kunpeng. Fault feature extraction for rolling bearing based on integrated order-frequency spectral correlation[J]. Journal of Vibration and Shock, 2018, 37(23): 78-83

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