The use of artificial neural networks to adjustment of the sheet delivery devices in gathering machines
Authors:
- Oleh Kazmirovych,
- Adam Jagiello
Abstract
The publication presents the results of research of possibility using the different variants of artificial neural networks for solution the problem of prediction parameters in edition adjustment of the sheet delivery devices in gathering machines. Currently, this is a significant problem faced by the printing industry. This is due to the fact that the parameters in the printing devices change automatically during their operation. The question of setting up and changing of parameters of the thickness signatures is insufficient research and has a random character. Lack of knowledge of the displacement values of these parameters forces long machine downtime in the printing industry. In the article, prognoses were made of the setting parameter for assembling signatures in book collators in gathering machine. These prognoses were made using artificial neural networks. Performance of three neural network architectures were analysed. It was also suggested which of the examined architectures can be used on real objects, and which should be further improved.
- Record ID
- CUT50407907f05940688d01085816255348
- Publication categories
- ; ;
- Author
- Pages
- [1-5]
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - [4-5]; Bibliografia (liczba pozycji) - 28; Oznaczenie streszczenia - Abstr.
- Book
- Hehenberger P. P. Hehenberger (eds.): 2019 20th International Conference on Research and Education in Mechatronics (REM), May 23-24, 2019, Wels, Austria, 2019, [S.l.], Institute of Electrical and Electronics Engineers, IEEE, [5] p., ISBN 978-1-5386-9257-8 (electronic)
- Keywords in English
- artificial neural networks, predicate, gathering machines, thickness signatures, sheet delivery devices, productivity
- DOI
- DOI:10.1109/REM.2019.8744110 Opening in a new tab
- URL
- https://ieeexplore-1ieee-1org-11zgn96511566.han.biblos.pk.edu.pl/document/8744110 Opening in a new tab
- Related project
- Modelowanie i badania wybranych systemów elektromechanicznych i mechatronicznych ze szczególnym uwzględnieniem elektrycznego transportu szynowego - część II. . Project leader at PK: , ,
Działalność statutowa - Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT50407907f05940688d01085816255348/
- URN
urn:pkr-prod:CUT50407907f05940688d01085816255348
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.