基于MP-NBFE法的磁控电弧焊缝跟踪的信号提取

针对磁控电弧焊缝跟踪信号非线性不平稳等特点,提出了一种基于匹配追踪和非参数基函数相结合的磁控电弧焊缝跟踪特征信号提取方法(MP_NBFE);在匹配追踪的每一次迭代中,首先自适应调整模板信号,使其逼近原始跟踪信号中的某一特征成分,然后用非参数基函数特征波形提取方法计算出与该模板信号最匹配的信号特征成分的最优估计;其次,依照匹配追踪的原理,用最优估计值去更新信号余量,在新的信号余量中继续寻找计算其他特征成分的最好估计.重复执行该过程,直到信号余量的能量小于预先设定的阈值.通过自行研制的磁控电弧传感器焊缝跟踪平台上的特征信号提取试验验证,结果表明,该方法提取的V形坡口扫描信号与V形坡口扫描的仿真信号变化趋势相同,可准确反映焊缝偏差信息.

Seam tracking signal extraction based on the method of MP-NBFE for magnetic controlled arc welding

Aiming at nonlinear and unstable characteristics of seam tracking signal of magnetic controlled arc welding, the paper proposed a characteristic signal extraction method of arc seam tracking by combining Matching Pursuit and the nonparametric basis function. Firstly, adaptive adjustment of template signal approximate one characteristic component of the original tracking signal is performed, then the optimal estimate of signal characteristic component matching the Template Signal is figured out by the extraction method of characteristic waveform based on nonparametric basis function. Secondly, the optimal estimationis used to update signal margin according to the principle of Matching Pursuit and then the optimal estimation of other characteristic component in the remaining signal was obtained. Finally, the process is repeated again and again until the energy of signal margin reach the preset threshold value.The feature signal extraction experiment on seam tracking platform based on magnetric controlled Arc sensor was verified that the method can extract signal scanning groove and the feature signal corresponding to short circuit transfer.