How to perform condition monitoring on STM32 using FP-AI-NANOEDG1

Revision as of 14:09, 4 January 2021 by Registered User (Replaced content with "{{UnderConstruction| Delivery for this distribution is being prepared}} The aim of this article is to provide a step-by-step guide for the readers to set up a vibration-ba...")
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The aim of this article is to provide a step-by-step guide for the readers to set up a vibration-based condition monitoring solution using STM32 sensor board. The anomaly detection AI libraries used in this tutorial will be generated using Cartesiam NanoEdge AI studio and the software used to program the sensor board can be downloaded from the ST website.

In this article you will learn:

  • setting up a motor control project,
  • programming the STWIN with FP-AI-NANOEDG1,
  • setting-up the sensor node and performing the data logging,
  • generating the AI libraries for condition monitoring, and
  • condition monitoring of the motor setup using vibration data.

1. Requirements

1.1. Hardware

1.2. Software