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An effective data reduction model for machine emergency state detection from big data tree topology structures Cover

An effective data reduction model for machine emergency state detection from big data tree topology structures

International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 4 (December 2021)
By: Iaroslav Iaremko,  Roman Senkerik,  Roman Jasek and  Petr Lukastik  
Open Access
|Dec 2021

Authors

Iaroslav Iaremko

Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlín

Roman Senkerik

senkerik@utb.cz

Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlín

Roman Jasek

Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlín

Petr Lukastik

plukasik@tajmac-zps.cz

DOI: https://doi.org/10.34768/amcs-2021-0041 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 601 - 611
Submitted on: Jun 11, 2021
Accepted on: Oct 19, 2021
Published on: Dec 30, 2021
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
OPC UA,
OPC tree,
PCA,
big data analysis,
data reduction,
machine tool,
anomaly detection,
emergency states
Related subjects:
Mathematics,
Applied mathematics

© 2021 Iaroslav Iaremko, Roman Senkerik, Roman Jasek, Petr Lukastik, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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