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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| Main Author: | |
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://dspace.unl.edu.ec/jspui/handle/123456789/32413 |
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