<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Predictive 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.</p>
</abstract>

Predictive 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.

SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in Industry 4.0

George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures

Acta Marisiensis. Seria Technologica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Predictive 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...

SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in Industry 4.0

Published Online: Dec 12, 2022

Page range: 12 - 19

DOI: https://doi.org/10.2478/amset-2022-0012

Keywords
Industry 4.0, Predictive maintenance, Internet of Things, Industrial Internet of Things, Internet of Everything, Intelligent Agent-based System

© 2022 Laszlo Barna Iantovics et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

SOON: Social Network of Machines Solution for Predictive Maintenance of Electrical Drive in Industry 4.0

Published Online: Dec 12, 2022

Page range: 12 - 19

DOI: https://doi.org/10.2478/amset-2022-0012

KeywordsIndustry 4.0, Predictive maintenance, Internet of Things, Industrial Internet of Things, Internet of Everything, Intelligent Agent-based System

© 2022 Laszlo Barna Iantovics et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
Industry 4.0, Predictive maintenance, Internet of Things, Industrial Internet of Things, Internet of Everything, Intelligent Agent-based System