Desarrollo de un prototipo computacional de diagnóstico de averías mediante recopilación de datos del sensor CKP de un motor Daewoo GM F16D3A

Abstract

The paper shows the methodology used for the analysis of the CKP sensor signal of inductive type, in a Daewoo GM F16D3A engine in order to create a fault diagnosis system based on neural networks and consequently the classification of statistical parameters according to supervised operating conditions.