Maintenance 4.0 Systems Architecture
Architecture des systèmes de Maintenance 4.0
Résumé
The Maintenance 4.0 movement results from changes to processes and manufacturing systems due to the Industry 4.0 paradigm. By anticipating anomalies, foreseeing failures, and reducing asset downtime, maintenance 4.0 is a methodology that boosts productivity and efficiency. Additionally, it makes use of cutting-edge technologies like ML (Machine Learning), CPS (Cyber-Physical Systems), and IoT (Internet of Things). These innovations make it possible to regularly monitor assets in real-time and streamline the maintenance procedure by offering suggestions for when to take action. The four main parts of maintenance 4.0 systems are data collection, analysis of collected data, dynamic monitoring and visualization, and decision-making. Despite its many advantages, maintenance 4.0 has yet to be widely adopted in industries. This paper aims to investigate and discuss the maintenance 4.0 typical system architecture and the maintenance opportunities and adoption challenges it poses.
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
| Licence |