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INTELLIGENT PRODUCTION DATA ANALYTICS FOR METAL INDUSTRY 4.0

1 PERZYK Marcin
Co-authors:
1 KOZLOWSKI Jacek
Institution:
1 Warsaw University of Technology, Warszawa, Poland, EU, M.Perzyk@wip.pw.edu.pl, jkozlows76@gmail.com
Conference:
27th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 23rd - 25th 2018
Proceedings:
Proceedings 27th International Conference on Metallurgy and Materials
Pages:
1835-1840
ISBN:
978-80-87294-84-0
ISSN:
2694-9296
Published:
24th October 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
474 views / 362 downloads
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Abstract

The fundamental role of data analytics in the era of Industry 4.0 is characterized. The main types of data-driven advanced models, including learning systems, are presented. Potential applications in process control and fault diagnosis in metal industry are reviewed. Examples related to metal casting processes, based on the authors’ expertise are presented. Potential chances and threads of intelligent data analytics in metal industry are discussed.

Keywords: Metal industry 4.0, data-driven modeling, process control, fault diagnosis

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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