Profile Error Analysis of Following Ground Crankshaft Using Robust Gaussian Regression Filter
In order to control profile error, many precision grinder manufacturers use profile error pre-compensation method, however, when there are outliers in the original profile error measured data, the compensation accuracy of profile error will be greatly influenced and even the workpiece will be scrapped. In this paper, in order to overcome this problem, a robust Gaussian regression filter is researched, at the same time Gaussian filter and Rk filter are used. Three filtration methods are applied based on the same set of profile error data with the same outlier. Comparing the analyzed results, it is obvious that the robust Gaussian regression filter has the strongest antioutlier capability. The application of this kind of filter is of great significance to improve the crankshaft following grinding machine reliability and performance.
Robust Gaussian Regression Filter Crankshaft Profile Error Following Grinding
Fang Xiaoyan Sheng Xiaowei Sun Yize Xu Yang
College of Mechanical Engineering Donghua University Shanghai, China;Technical Center Shanghai Machi College of Mechanical Engineering Donghua University Shanghai, China
国际会议
秦皇岛
英文
1875-1878
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）