Nowadays there is a need for many companies emerging in the context of Industry 4.0 to save the costs, to increase efficiency and improve the factory management. For this reason the research for predictive maintenance techniques and state of health (SoH) estimation of a production machine is one of the most relevant areas in the scientific field. This thesis is inside the research and development MOREPRO project owned by Brain Technologies. Morepro aims to bring to the field an innovative solution based on multi-level distributed intelligence logic to improve the management of production plants thanks to new capabilities. The objective concerns the development of a prototype which is capable of: • Monitoring the SoH of machine and its critical components through embedded sensors and hence applying machine learning and data mining techniques.