%0 Journal Article 
%T Predicción de la rugosidad superficial en texturizados por electroerosión usando redes bayesianas
%J Sistema y Telemática;Vol. 11 No. 27
%D 2013
%@ 16925238
%U http://www.icesi.edu.co/revistas/index.php/sistemas_telematica/article/view/1696
%X A model for prediction of parameters that defined roughness surface [Ra] when this texture is produced 
by Electro Discharge Texturing [EDT] is presented. The non-linearity, instabilities and expensive experimentation in this process, are main causes for use predictive techniques by means of robust and 
reliable algorithms, for study factors that present characterization hard. Series of experiments were conducted to produce plane surface textures using a modified EDM machine ALIC-1. The data collected 
in experimental phase were used for trained Bayesian models with Naïve Bayes and Tree Augmented Naïve 
Bayes [TAN] classifiers. Results show acceptable behavior within the operating range, consistent with 
the physical phenomena governing EDT process. Find a surface roughness with particular specifications is 
demonstrated
%K Facultad de Ingeniería
%K Producción intelectual registrada - Universidad Icesi
%K Sistema & Telemática
%K Estimación
%K Redes
%K Algoritmos
%K Prediction
%K Surface roughness
%~ GOEDOC, SUB GOETTINGEN