A multivariate statistical approach to metrology

被引：3
|
作者：
Kurfess, TR [1 ]
Banks, DL [1 ]
Wolfson, LJ [1 ]
机构：
[1] CARNEGIE MELLON UNIV,DEPT STAT,PITTSBURGH,PA 15213
来源：
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME | 1996年 / 118卷 / 04期
关键词：
D O I：
10.1115/1.2831081
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using multivariate statistical techniques. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various manufacturing and measurement processes to reduce the size of the multidimensional confidence interval.
引用
收藏
页码：652 / 657
页数：6
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