摘要
基于国际标准ISO/TS 16610-22中提出的样条滤波理论,针对磨损表面形貌数据量庞大导致滤波方程求解时间长的问题,提出了一种基于追赶法的样条滤波快速算法。通过对磨损表面的仿真和实验测量数据的滤波进行计算,结果表明:该算法计算效率高、占用内存少;将该算法应用于基于M估计的稳健样条滤波求解中,既能有效避免因磨损表面畸变特征引起的滤波失真,又能获得较高的计算效率。
Based on the spline filtering theory proposed in the international standard ISO/TS 16610-22,a fast algorithm of spline filtering based on the catch-up method is proposed to solve the problem that the large amount of worn surface topography data leads to a long time to solve the filter equation.The calculation results of the simulation of the worn surface and the filtering calculation of the experimental measurement data show that the algorithm has high calculation efficiency and less memory.The algorithm is applied to the robust spline filtering solution based on M estimation,which can effectively avoid the distortion characteristics of the worn surface and also obtain higher calculation efficiency.
作者
张一兵
许家铭
胡瑞
Zhang Yibing;Xu Jiaming;Hu Rui
出处
《工具技术》
北大核心
2021年第1期86-91,共6页
Tool Engineering
基金
国家自然科学基金资助项目(51765044)。
关键词
磨损表面
样条滤波
稳健性
粗糙度
M估计
worn surface
spline filtering
robustness
roughness
M-estimate
