Maintenance 4.0: intelligent and predictive maintenance system architecture

In the current manufacturing world, the role of maintenance has been receiving increasingly more attention while companies understand that maintenance, when well performed, can be a strategic factor to achieve the corporate goals. The latest trends of maintenance leans towards the predictive approach, exempliﬁed by the Prognosis and Health Management (PHM) and the Condition-based Maintenance (CBM) techniques. The implementation of such approaches demands a well structured architecture and can be boosted through the use of emergent ICT technologies, namely Internet of Things (IoT), cloud computing, advanced data analytics and augmented reality. Therefore, this paper describes the architecture of an intelligent and predictive maintenance system, aligned with Industry 4.0 principles, that considers advanced and online analysis of the collected data for the earlier detection of the occurrence of possible machine failures, and supports technicians during the maintenance interventions by providing a guided intelligent decision support.

Keywords

Predictive maintenance Intelligent maintenance IoT Data analysis

URI

http://hdl.handle.net/10198/21251

Citation

Cachada, Ana; Moreira, Pedro Miguel; Romero, Luis; Barbosa, José; Leitão, Paulo; Geraldes, Carla A.S.; Deusdado, Leonel; Costa, Jacinta; Teixeira, Carlos; Teixeira, Joao; Moreira, Antonio H.J. (2018). Maintenance 4.0: intelligent and predictive maintenance system architecture. In 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA’18). Politecnico di TorinoTorino; Italy. p.139-146