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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
The hardware required to reproduce this tutorial includes:
- STEVAL-STWINKT1B
- The STWIN SensorTile wireless industrial node (STEVAL-STWINKT1B) is a development kit and reference design that simplifies prototyping and testing of advanced industrial IoT applications such as condition monitoring and predictive maintenance. For details visit the link.
- STM32 P-NUCLEO-IHM03 Motor Control Nucleo Pack
- The P-NUCLEO-IHM03 STM32 motor-control pack is a kit composed of the X-NUCLEO-IHM16M1 board, the NUCLEO-G431RB board, a brushless Gimbal motor (GBM2804H-100T), and the DC power supply. For details visit the link.
- STEVAL-STWINKT1B