Reconfigurable Manufacturing: Towards an industrial Big Data approach

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https://hdl.handle.net/10037/28583
DOI
https://doi.org/10.1109/AIM52237.2022.9863341
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Date
2022-08-25
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Arnarson, Halldor; Bremdal, Bernt Arild; Solvang, Bjørn
Abstract
As the world is moving towards more personalized and customized manufacturing, the manufacturing system needs to adapt. One method can be to integrate industry 4.0 concepts in reconfigurable manufacturing systems (RMS). This allows the manufacturing system to become more self-sustaining and flexible at the same time. There is however, a lack of research on how to integrate industry 4.0 concepts such as industrial Big Data (IBD) into RMS. This paper looks at how IBD techniques can be used on an RMS for classification and how to collect data from an RMS. A case study where five different movable platforms are identified with an accuracy of more than 85% is showcased.
Is part of
Arnarson, H. (2023). Intelligent self- and reconfigurable manufacturing system. (Doctoral thesis). https://hdl.handle.net/10037/31897.
Publisher
IEEE
Citation
Arnarson H, Bremdal BA, Solvang B. Reconfigurable Manufacturing: Towards an industrial Big Data approach. IEEE ASME International Conference on Advanced Intelligent Mechatronics. 2022:632-637
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Copyright 2022 The Author(s)
Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)