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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Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkki: Medina Namicela, Juan Pablo (author)
Materiálatiipa: bachelorThesis
Giella:spa
Almmustuhtton: 2025
Fáttát:
Liŋkkat:https://dspace.unl.edu.ec/jspui/handle/123456789/32413
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