Title :
An Application of Dimensional Analysis Techniques in an Industrial
Author :
Rodríguez, Georgina Solís ; Prado, Eduardo Marroquín
fDate :
5/1/2007 12:00:00 AM
Abstract :
In this research diverse methodologies are applied for identify variations of dimensional controlgenerated during the assembly process of a vehicle, this research analyzes the advantages of use technical of principal components analysis (PCA) by means of artificial neuronal networks and robust statistic in different situations of a process industrial multivariate.
Keywords :
Automatic control; Covariance matrix; Industrial control; Robust control; Robustness; Surges; Artificia; Dimensional Quality; Neuronal Network; Outliers; Principal Component Analysis; Robust Statistic;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2007.4381346
