In this technical webinar, you will learn how to build a predictive maintenance system for a simple fan. We also demonstrate the basic concepts used in a real-world application. For this demo, we use a vibration sensor to detect the state and anomalies of the electric motor with the help of Machine Learning.
In order to make sure we can detect the condition of the motor even with interrupted or slow cloud connectivity, we have used AWS Greengrass on a Colibri iMX6ULL System on Module running Linux.
The solutions are presented via a live demo.
- Learn how to build a simple predictive maintenance system with offline capabilities
- Understand how to use AWS Greengrass on a Colibri System on Module based on NXP® i.MX 6ULL running Linux
- Get insights into the deployment of machine learning models on an Arm®-based Edge Computing device