Levantamiento de una base de datos sobre emisiones contaminantes en motores con sistemas de inyección MPFI

Abstract

The technical project develops a diagnostic model for MPFI engines focused on pollutant emissions, based on machine learning. It includes a literature review on diagnostic methods, data collection of parameters such as CO, HC, CO2, and O2 using the KANE AUTOplus in diverse vehicles, and analysis through fuzzy logic. Diagnoses include Rich Mixture, Clogged Injector, Lean Mixture, among others. The results optimize engine maintenance and performance, establishing a tool for automotive decision-making.