An application of technical of dimensional analysis in an industrial multivariate process

被引：0
|
作者：
Solis R., Georgina [1 ]
Marroquin P., Eduardo [1 ]
机构：
[1] Inst Tecnol Saltillo, Saltillo, Coahuila, Mexico
来源：
CERMA2006: ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE VOL 2, PROCEEDINGS | 2006年
关键词：
principal component analysis; artificial neuronal network; robust statistics; dimensional quality; outliers;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work diverse methodologies are applied to identify dimensional variation generated in the assembly process of a vehicle. The investigation analyzes the advantages of using principal components analysis (PCA) by means of using artificial neuronal networks and robust statistics in different situations of a multivariate industrial process.
引用
收藏
页码：220 / +
页数：3
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