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 approac...

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Bibliographic Details
Main Authors: Cachada, Ana, Moreira, Pedro Miguel, Romero, Luis, Barbosa, Jose, Leitno, Paulo, Gcraldcs, Carla A.S., Deusdado, Leonel, Costa, Jacinta, Teixeira, Carlos, Teixeira, Joao, Moreira, Antonio H.J.
Format: Conference Proceeding
Language:English
Subjects:
Augmented reality
Data analysis
industrial maintenance
Industry 4.0
Monitoring
Predictive maintenance
Prognostics and health management
Systems architecture
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Summary: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.
ISSN:1946-0759
DOI:10.1109/ETFA.2018.8502489