故障滚动轴承振动信号的半盲处理方法研究  

Research on semi-blind signal processing method for faulty rolling bearing vibration signal

作　　者：李毓辉[1,2] 卢如平[3] 方丹[3,4] 郑海起[1] 

机构地区：[1]军械工程学院火炮工程系兵器测试中心 [2]中国人民解放军71117部队 [3]中国人民解放军75240部队 [4]军械工程学院导弹工程系

出　　处：《振动与冲击》2009年第12期80-83,共4页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(50375157;50775219)

摘　　要：利用旋转机械的振动信号的循环平稳特性,采用基于二阶统计量(Second O rder Statistic,SOS)的盲均衡技术从多个传感器信号中恢复出"真实的"振动源信号,实现了同类信号的数据级融合。以滚动轴承故障信号的阶次谱结构为先验知识,提出了用于滤波性能评价的两个指标,实现了盲均衡滤波器参数的优化,从而给出了一种可用于滚动轴承故障诊断的半盲信号处理方法。采用某型单级减速齿轮箱的实验数据验证了该方法的有效性。In accordance with the cyclostationary nature of the vibration signal of rotating machine,the blind equalization technique based on output second order statistic(SOS) was introduced to recover 'real' vibration signal from multi-sensors signals,which is essentially the data level information fusion for homogeneous sensors signals.Based on the prior knowledge of the order spectral structure of the faulty vibration signal of rolling bearing,two performance indexes were proposed to optimize the blind equalization filter parameters.Finally,a semi-blind signal processing method for rolling bearing fault diagnosis was given.The performance of the method was verified with experiment data on a single reduction gearbox test rig.

关 键 词：半盲信号处理 多传感器 数据级融合 滚动轴承 故障诊断 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置] TN911.23[自动化与计算机技术—控制科学与工程]