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Key words:

Red neuronal artificial, T² de Hotelling y Control Estadístico del Proceso, Artificial Neural Network, T² Hotelling and Statistical Process Control

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

ABSTRACT:
In statistical quality control, one of the tools most commonly used are the control charts. The main problem of multivariate control charts is that only indicate that there has been a change in the process, but does not say which of the variables are the ones that cause this change. In the present paper is proposed a system to monitor and control multivariable processes, which it is composed of the Hotelling's T2 multivariate control chart that detects signals out of control and artificial neural network Fuzzy ARTMAP responsible for identifying the variable (s) that causes the signal out of control. The proposed system is applied to a manufacturing process of electrical transformers. The results show that the artificial neural network Fuzzy ARTMAP it is an efficient tool for completing the interpretation of the Hotelling's T2 multivariate control chart and from the integration lead to the development of a system capable of monitoring the quality of multivariate processes.

Keywords: Artificial Neural Network, T² Hotelling and Statistical Process Control