Empleo de algoritmos de Machine Learning para la detección de fallos en el sistema de encendido y admisión de aire en un motor Otto

Empleo de algoritmos de Machine Learning para la detección de fallos en el sistema de encendido y admisión de aire en un motor Otto

In the present work, Machine Learning algorithms and models were applied within MATLAB to classify four different engine operating states: optimal conditions, faulty spark plug, obstructed air filter, and both faults combined. To achieve this, voltage data from the MAP sensor of a YESA 3133 Otto eng...

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Bibliografske podrobnosti
Glavni avtor: Medina Namicela, Juan Pablo (author)
Format: bachelorThesis
Jezik:spa
Izdano: 2025
Teme:
MOTOR
CONDISIONES
CLASSIFICATION LEARNER
Online dostop:https://dspace.unl.edu.ec/jspui/handle/123456789/32413
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Internet

https://dspace.unl.edu.ec/jspui/handle/123456789/32413

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