Predictive Maintenance
Design and implement predictive maintenance applications using Arduino® hardware
Design and implement predictive maintenance applications by integrating sensors and microcontrollers to monitor the health and performance of systems like batteries or rotating devices.
Featured Examples
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.
New
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.
