Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Development and Application of Self-learning Model for HSM

Authors
Ce Wang, Ziying Liu, Lijie Dong, Changli Zhang, Fengqin Wang
Corresponding Author
Ce Wang
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.15How to use a DOI?
Keywords
Hot strip rolling, Profile and flatness control, Self-learning.
Abstract
In recent years, based on maturity of AGC technology, the accuracy of Thickness Control has been improved greatly. The poor profile control is the major factor which restricts the dimensional accuracy. The mathematical model of plate shape-setup is the basis for realizing the process control of strip mill. Because the deviation of the mathematical model, the device and the parameter is inevitable during actual rolling, self-learning is an important mean to reduce the error of the set-up model. On a production line, the self-learning algorithm is not in line with actual production, which results in control chaos. To solve this problem, combined with the actual production process, a new self-learning algorithm has been developed, which considers operator revision, unstable error interference and actual parameters optimization. New algorithms has been applied, it has solved the phenomenon of self-learning disorder, improved the hit rate of profile greatly, and improved the quality of the production.
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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ce Wang
AU  - Ziying Liu
AU  - Lijie Dong
AU  - Changli Zhang
AU  - Fengqin Wang
PY  - 2016/07
DA  - 2016/07
TI  - Development and Application of Self-learning Model for HSM
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 99
EP  - 103
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.15
DO  - https://doi.org/10.2991/iccia-17.2017.15
ID  - Wang2016/07
ER  -