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Classification of Mechanical Failures in Provoked Ignition Engine by Means of ANN and SVM
Conference ObjectAbstract: This paper presents the methodology applied to determine the mechanical failures in an internal combPalabras claves:artificial neural networks, CMP-sensor, diagnostic, K-sensor, Mechanical failures, Support-vector machinesAutores:Contreras Urgilés R.W., Esteban Rocano, Jorge Chiluisa, José Maldonado Ortega, Wilmer Rafael Contreras UrgilésFuentes:googlescopusApplication of feed-forward backpropagation neural network for the diagnosis of mechanical failures in engines provoked ignition
ArticleAbstract: This research explains the methodology for the creation of a diagnostic system applied to the detectPalabras claves:Anova, correlation matrix, diagnosis, Mechanical failures, network feed-forward backpropagation, random forestAutores:José Maldonado Ortega, Rogelio S. León Japa, Rogelio Santiago León Japa, Wilmer Rafael Contreras UrgilésFuentes:googlescopusPbkp_rediction algorithm of fuel consumption for anhydrous ethanol mixture in high-altitude cities
ArticleAbstract: In the present research work, a mathematical model is obtained for pbkp_redicting specific fuel consPalabras claves:Ethanol anhydride, explanatory model, fuel consumptionAutores:Fabricio Espinoza, Fredy Tacuri, Javier Vázquez, Wilmer Contreras, Wilmer Rafael Contreras UrgilésFuentes:googlescopusPbkp_rediction of CO and HC emissions in Otto motors through neural networks
ArticleAbstract: This paper explains the application of artificial neural networks (ANN) for the pbkp_rediction of poPalabras claves:carbon monoxide (CO), DIAGNOSTICS, Neural networks, non-combustion hydrocarbons (HC), pbkp_rediction, pollutant emissionsAutores:José Maldonado Ortega, Rogelio Santiago León Japa, Wilmer Rafael Contreras UrgilésFuentes:scopus