基于集成阶频谱相关的滚动轴承故障特征提取  

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

作　　者：夏均忠 汪治安 陈成法 吕麒鹏 刘鲲鹏 XIA Junzhong;WANG Zhian;CHEN Chengfa;LV Qipeng;LIU Kunpeng(Research Center of Military Vehicle Engineering&Technology,Academy of Military Transportation,Tianjin300161,China)

机构地区：[1]军事交通学院军用车辆工程技术研究中心,天津300161

出　　处：《振动与冲击》2018年第23期78-83,共6页Journal of Vibration and Shock

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。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.

关 键 词：滚动轴承 故障特征提取 角度/时间循环平稳 阶频谱相关 集成阶频谱相关 

分 类 号：TH133.33[机械工程—机械制造及自动化] TN911.72[电子电信—通信与信息系统]