Embedded system with TinyML and energy harvesting for AC motor monitoring
Keywords: edgeAi, tinyML, Energy Harvesting, Predictive Anomaly, Ai in Maintenance, Industry 4.0
Authors: João Ferreira, António H. J. Moreira
The maintenance of equipment, at the industrial level, is a very important aspect and nowadays, it is possible to verify the existence of different types of maintenance, for example, corrective, preventive and predictive maintenance (PdM). Predictive maintenance in the industry has become a subject of high relevance in Industry 4.0. , which is based on periodic monitoring of equipment through the analysis of data collected from sensors. This type of method has become part of smart industrial maintenance, anticipating possible failures using AI techniques.