Research on Semi-Blind Signal Processing Method for Faulty Rolling Bearing Vibration Signal
LI Yu-hui1，2; LU Ru-ping3; Fang Dan3,4;ZHENG Hai-qi1
1. The Weapon Test Center of Dep. of the Guns Engineer of the Ordnance Engineer College; Shijiazhuang 050003; 2. Unit 71117, PLA., Yichuan 471300; 3. Unit 75240, PLA., Chaozhou 521041;4. The Missile Engineering Department of the Ordnance Engineer College; Shijiazhuang 050003
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 Order 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。
Abstract：Because of the cyclostationary nature of the vibration signal of rotating machine, the blind equalization technique based on output second order statistic (SOS) is introduced to recover “real” vibration signal from multi-sensor signals, which is essentially data level information fusion for homogeneous sensors signal. Based on the prior knowledge of the order spectral structure of the rolling element bearing faulty vibration signal, two performance indexes are proposed to optimize the blind equalization filter parameters. Finally, a semi-blind signal processing method for rolling bearing fault diagnosis is given. The performance of the method is verified with a single reduction gearbox test rig experiment data.
李毓辉;卢如平;方 丹;郑海起. 故障滚动轴承振动信号的半盲处理方法研究[J]. , 2009, 28(12): 80-83.
LI Yu-hui;LU Ru-ping;Fang Dan;ZHENG Hai-qi. Research on Semi-Blind Signal Processing Method for Faulty Rolling Bearing Vibration Signal. , 2009, 28(12): 80-83.
2009, Vol. 28 
