表面粗糙度测量中自适应降噪方法研究

摘要

在表面粗糙度测量中,夹杂在工件表面原始轮廓信号中的噪声对粗糙度测量值的影响较大.为了滤除噪声,并精确地获得高斯滤波中线,将自适应滤波技术应用到表面粗糙度测量领域,并采用Matlab语言对其进行仿真试验.仿真结果表明:这种自适应滤波方法具有良好的降噪效果,测量效果较为理想,应用前景十分广阔.%In the process of measuring the surface roughness, the noise mixed in the surface profile signal of workpiece has a great impact on the measured values. In order to filter noise and accurately obtain the midline of Gaussian filtering, the self-adaptive filtering technique was applied in the field of measuring the surface roughness. It was simulated with Matlab. The simulation results show that using the self-adaptive filtering method, better denoising effect and satisfactory measured results can be achieved. It has very broad prospects for application.