基于盲均衡的轴承故障诊断研究  

Research on Rolling Bearing Fault Diagnosis Based on Blind Equalization

作　　者：李毓辉[1,2] 卢如平[3] 方丹[1,3] 郑海起[1] 

机构地区：[1]军械工程学院,石家庄050003 [2]中国人民解放军71117部队,河南伊川471300 [3]中国人民解放军75240部队,广东潮州521041

出　　处：《轴承》2009年第2期44-47,共4页Bearing

基　　金：国家自然科学基金资助项目(50375157,50775219)

摘　　要：通过理论分析,将无线通信领域内基于多传感器的SIMO系统盲均衡技术应用于齿轮箱故障诊断的多路振动信号的融合。在某单级减速齿轮箱内植入滚动轴承内圈故障,试验证明,由融合后的传感器数据得到的故障特征更为突出。By theoretic analysis, the blind equalization technique of Single - Input - Multiple - Output based on multi - sensor is applied to fusion multiple vibration signals from the gearbox. A defect is seeded on inner ring of rolling beating fault mounted in a single reduction gearbox. The experiment verifies that fault feature based on fusion data is more obvious than one based on single sensor data.

关 键 词：滚动轴承 故障诊断 传感器 盲均衡 信息融合 

分 类 号：TH133.33[机械工程—机械制造及自动化] TP274.5[自动化与计算机技术—检测技术与自动化装置]