Implementación de la metodología AMFEC para la detección de fallos incipientes del sistema de inyección del motor G4GC

Abstract

The technical project proposes a method to predict failures in the injection system at an early stage using machine learning, thus optimizing automotive maintenance. It is divided into three stages: literature review to understand failures and prediction techniques, data acquisition, and analysis with statistical and machine learning techniques to determine patterns and early failure signals. The results support decision-making and technological development in the automotive sector.