IIoT Solution for predictive monitoring based on vibration data from motors using Microsoft Azure machine learning studio and Power BI

This article presents the design and development of a practical predictive monitoring system. There are three main sections to it: vibration data acquisition, data analytics, and presentation of a report. An STM32F446RE microcontroller does the data acquisition. The Data analytics step the training of different machine learning models and determining which one gives the best results, using Azure Machine Learning. Microsoft PowerBi generates a report that uses all the available information, before and after diagnostics. Lastly, a cloud-based Azure Storage Account stores the information at every step.