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.
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