Introduction

This guide provides a comprehensive overview for building a machine learning model using the MPLAB^® Machine Learning Development Suite. The guide is designed to help users apply predictive maintenance techniques to motor control applications.

The focus of this guide is developing a classification model capable of determining the operational state of a motor, whether it is functioning normally or experiencing anomalies, such as an unbalanced load, by monitoring the motor’s parameters, which in this case is torque-producing current (Iq) or velocity (RPM).