SMART MANUFACTURING METHOD FOR PREDICTIVE MONITORING OF FAULTS IN DEVICES, BASED ON MACHINE LEARNING

摘要

The invention relates to a method for the real-time predictive monitoring of faults of indicators resulting from a smart manufacturing system for supporting the industry. The prediction is based on machine learning algorithms, and the data obtained in real time from the machinery is converted into actions represented by alerts, instant messages and indicators in panels for decision-making or dashboards placed strategically in the production line.