Diagnóstico en línea de un motor de encendido provocado Hyundai Accent DOHC 1.5L mediante herramientas de aprendizaje y clasificación a través del análisis de la señal del sensor de oxígeno de banda corta

Abstract

In this work, a classification algorithm was developed for a group of failures of an internal combustion engine with ignition provoked, intervening in the ignition and power systems, this was achieved through the pre-treatment of the data using principal component analysis and support vector machines for the training process. Obtaining results of classification accuracy greater than 90% in each of the classes.