SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in Industry 4.0
SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in...
Iantovics, Laszlo Barna; Gligor, Adrian; Montequín, Vicente Rodríguez; Balogh, Zoltán; Budinská, Ivana; Gatial, Emil; Carrino, Stefano; Ghorbel, Hatem; Dreyer, Jonathan
2022-12-01 00:00:00
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.
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pngActa Marisiensis: Seria Technologicade Gruyterhttp://www.deepdyve.com/lp/de-gruyter/soon-social-network-of-machines-solution-for-predictive-maintenance-of-b75tEGBsv8
SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in Industry 4.0
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
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.