基于差分振子与欧氏距离的微弱未知信号检测方法研究  

Weak Signal Detection on the Basis of Differential Oscillator and Euclidean Distance

作　　者：刘燕[1] 张斌辉 张翠霞 

机构地区：[1]宿州学院煤矿机械与电子工程研究中心,安徽宿州234002 [2]国家中小型轴承产品质量监督检验中心,浙江绍兴312500

出　　处：《攀枝花学院学报》2017年第5期69-73,共5页Journal of Panzhihua University

基　　金：安徽省高校自然科学研究项目(KJ2016A776);宿州学院煤矿机械与电子工程研究中心开放课题资助(2014YKF16)

摘　　要：针对噪声很大,并且具有非高斯、非平稳、非线性特征的轴承微弱故障信号,提出了基于差分振子结合欧氏距离检测微弱故障的方法,通过构造差分振子微弱信号检测器,结合欧氏距离定量识别出未知信号的频域信息和幅值信息,该方法很直观地证实了系统参数对检测信号的影响,将该方法用在提升机的轴承故障实例中,证实了该方法能够成功地提取出故障频率。Owing to the fact that the bearing fault signals are interfered with noise; the bearing fault signal dem-onstrates non - gauss, nonlinear and non - stationary characteristics. A weak fault detection method based on differential oscillator combined with Euclidean distance is proposed. The frequency domain information and am-plitude information of unknown signals are identified by using the weak signal detector of differential oscillator and the Euclidean distance. This method is very intuitive to confirm the effect of system parameters on the de-tection signal.

关 键 词：微弱信号 滚动轴承 差分振子 欧氏距离 

分 类 号：TH133[机械工程—机械制造及自动化] TP274[自动化与计算机技术—检测技术与自动化装置]