“Diseño e implementación de un sistema para mantenimiento predictivo que permita detectar anomalías en un motor eléctrico mediante TinyML y LoRaWAN.”

The objective of this research project is to propose an integrated system that detects anomalies in real time during the normal operation of an electric motor. This prototype uses an Arduino Nano 33 BLE Sense as its main component with software incorporating a training model generated using TinyML o...

• Auteur principal: Zaruma Villamarín, Juan Carlos (author)
• Format: bachelorThesis
• Langue: spa
• Publié: 2024
• Sujets: MACHINE LEARNING; ARDUINO; MONITOREO REMOTO; LORAWAN; NODE-RED; THE THINGS NETWORK
• Accès en ligne: https://dspace.unl.edu.ec/jspui/handle/123456789/30146