预测性维护
R2026a使用 Arduino® 硬件设计和实现预测性维护应用
通过集成传感器和微控制器来监控电池或旋转设备等系统的健康状态和性能，从而设计和实现预测性维护应用。
精选示例
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.
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.
