互相关法对主轴振动信号提取的研究

The Spindle Vibration Signal Extracting Research Basing on Cross-correlation Algorithm

为解决高速主轴因质量不平衡造成的振动,破坏加工精度,影响产品表面质量等问题,对谐波信号、噪声等干扰下主轴同频振动信号进行提取研究。利用Lab VIEW虚拟软件模拟均匀白噪声、高斯白噪声、直流电平、各种谐波下等不同类型振动信号,与基准信号互相关运算,提取与主轴同频振动信号幅值和相位。对比主轴系统在实验条件下和模拟条件下的振动响应,验证了互相关算法提取幅值和相位的准确性。实验条件下对比互相关法算法与整周期截取DFT法,结果表明:互相关法算法完整提取振动信息、运算快、准确性高,为求取影响系数、校正质量等提供更准确输入,为高速主轴在线动平衡调控提供重要信息。

In order to solve problems such as machining precision deterioration or the product surface disqualification which are caused by the mass unbalance vibration,the spindle synchronization frequency vibration signal abstracting research was made among all kinds of harmonic signals and interference noise signals.The extracting to the spindle synchronization vibration signal was done after the cross-correlation algorithm between the standard signal and uniform white noise,gaussian noise and direct current signal basing on the Lab VIEW software. The cross-correlation algorithm in extracting the spindle synchronization amplitude and phase was tested under the working and simulating conditions. Under the experiment contrast between the cross-correlation algorithm and the whole cycle capture DFT algorithm,results indicated that the cross-correlation algorithm could completely extract the vibration information,stands faster operation and higher accuracy. The influence coefficient magnitude,correcting weight and some other parameters could be achieved by applying the cross-correlation analysis. Such achievements hold a significant meaning in providing information to the online dynamic balancing control.