Research on the Spatial Error Distribution Model of Flexible Coordinate Measuring Machines Based on Support Vector Regression

被引：1
|
作者：
Zheng, Dateng [1 ,2 ]
Fei, Yetai [3 ]
Hu, Yonggang [2 ]
Yang, Ruichang [3 ]
机构：
[1] JingGangShan Univ, Inst Technol, Jian 343009, Jiangxi, Peoples R China
[2] West Anhui Univ, Dept Mech & Elect Engn, Luan, AnHui, Peoples R China
[3] Hefei Univ Technol, Sch Instrument Sci & Optelect Engn, HeFei, AnHui, Peoples R China
来源：
ADVANCED MANUFACTURING SYSTEMS, PTS 1-3 | 2011年 / 201-203卷
关键词：
Support Vector Regression; Flexible CMM; Spatial Error Distribution Model;
D O I：
10.4028/www.scientific.net/AMR.201-203.2058
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
One of the main reasons on Flexible Coordinate Measuring Machines' (FCMM) less application is that its accuracy can't meet the practical requirements. The spatial error distribution model of FCMM is build using Support Vector Regression (SVR) method. The test shows the data from the model can effectively fit the samples, and arguably the model based on SVR is feasible. The novel method gives an idea of studying the spatial error distribution model of FCMM. Futhermore, the model can provide reasearch foundations for definiting optimal measurement area and thus help to improve the measurement accuracy in the next work.
引用
收藏
页码：2058 / +
页数：2
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