基于粒子群优化算法电容式焊缝跟踪传感器去噪方法研究

For wavelet threshold denoising method in capacitive plate lap seam tracking sensor signal processing makes use of the soft threshold denoising signal after losing some of the characteristics of weld signal and hard threshold method has been lacking in the smooth problem. this paper proposes a modified compromise soft hard threshold method: compromise threshold denoising method. Donoho prove in theory and found the general optimal threshold, but general threshold in the actual application effect is not very ideal. Based on the proposed in this paper USES the hierarchical threshold. And using the particle swarm optimization algorithm to determine the best threshold value of each decomposition scale, effectively avoid the noise variance calculation with noise signal. Experimental results show that this method on lap capacitance plate weld tracking signal noise reduction processing, can satisfy the requirement of the system noise.