基于HHT和Cohen核的磁控焊缝跟踪信号分析

针对磁控焊缝跟踪信号的非线性不平稳特点,提出了一种基于Hilbert-Huang变换和Cohen核的磁控电弧传感器焊缝跟踪系统的信号提取分析方法;运用经验模态分解,把周期激励下磁控跟踪信号分解成多个从高频到低频的本征模态函数分量,依据各分量的Hilbert边际谱,采用Cohen核分布的时频变换,能有效抑制交叉项,提取出磁控焊缝跟踪实时信号动态规律. 结果表明,利用此方法有助于更深入地揭示焊缝自动跟踪系统内各种干扰源的时频和频谱特征,为建立有激励源的焊接信号新的非线性模型提供了理论依据.

Signal analysis of magnetic control seam tracking based on HHT and Cohen nuclear

Since to the feature of the magnetic control seam tracking signal is nonlinearly and not smooth, A signal extraction and analytical method of the system based on Hilbert Huang transform and Cohen nuclear magnetic control arc seam tracking sensor is propesed. The magnetic control to track the signal motivated by cycle is decomposed into several intrinsic mode functions from high frequency to low frequency component by using the empirical mode decomposition. On the basis of the Hilbert marginal spectrum of each component, using Cohen nuclear distribution of time-frequency transform to each component can effectively restrain cross terms and extract the real-time signal dynamic law reflecting magnetic control seam tracking. The test result manifest this method is contribute to reveal the time-frequency of interference source and frequency spectrum.