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/lp/de-gruyter/soon-social-network-of-machines-solution-for-predictive-maintenance-of-b75tEGBsv8
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- Publisher
- de Gruyter
- Copyright
- © 2022 Laszlo Barna Iantovics et al., published by Sciendo
- ISSN
- 2668-4217
- DOI
- 10.2478/amset-2022-0012
- Publisher site
- See Article on Publisher Site
Abstract
AbstractPredictive methods represent techniques commonly met in Industry 4.0 that offer a way to early predict or detect faults of machines, devices or tools. This is useful to anticipate failures with the main goal of improving maintenance planning. Making such predictions could decrease the unexpected malfunction operation or manufacturing downtime and consequently the overall maintenance costs. In this paper we present the basis of the architecture designed for predictive maintenance in the project Social Network of Machines (SOON) under the paradigm of Industry 4.0, as well as a brief literature state-of-the-art survey of the topic. A particular implementation of this architecture, a testbed for electrical motors failure detection, is shown and evaluated.
Journal
Acta Marisiensis: Seria Technologica – de Gruyter
Published: Dec 1, 2022
Keywords: Industry 4.0; Predictive maintenance; Internet of Things; Industrial Internet of Things; Internet of Everything; Intelligent Agent-based System