DocumentCode
2773447
Title
An Application of Technical of Dimensional Analysis in an Industrial Multivariate Process
Author
Solis, R.G. ; Marroquin, P.E.
Author_Institution
Inst. Tecnologico de Saltillo, Coahuila
Volume
2
fYear
2006
fDate
26-29 Sept. 2006
Firstpage
220
Lastpage
225
Abstract
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
Keywords
assembling; automobile industry; neural nets; principal component analysis; quality control; PCA; artificial neuronal network; dimensional analysis; multivariate industrial process; principal component analysis; robust statistics; vehicle assembly process; Assembly; Biological neural networks; Covariance matrix; Principal component analysis; Product design; Quality control; Robustness; Statistical analysis; Vectors; Vehicles; Artificial; Dimensional; Neuronal Network; Outliers.; Principal Component Analysis; Quality; Robust Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location
Cuernavaca
Print_ISBN
0-7695-2569-5
Type
conf
DOI
10.1109/CERMA.2006.103
Filename
4019797
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