Mantenimiento predictivo
Diseñe e implemente aplicaciones de mantenimiento predictivo utilizando hardware de Arduino®
Diseñe e implemente aplicaciones de mantenimiento predictivo integrando sensores y microcontroladores para monitorizar el estado y el rendimiento de sistemas como baterías o dispositivos rotativos.
Ejemplos destacados
Perform Predictive Maintenance on Rotating Device Using ESP32 Board, ThingSpeak, and Machine Learning
Predict and monitor the health of a rotating device using machine learning algorithm. You can use this example for predictive maintenance of any rotating device or piece of equipment so that you can fix them before they fail.
Nuevo
Estimate Battery State of Charge Using Deep Learning with ESP32 Board
Estimate the state of charge (SOC) of a battery using a deep learning model in MATLAB® with an ESP32-based hardware setup.
