Control of the continuous casting process using neural networks

Authors:
Gelu Ovidiu Tirian;Stela Rusu-Anghel;Manuela Panoiu;Camelia Pinca Bretotean
Affiliations:
Department of Electrical Engineering and Industrial Informatics, "Politechnica" University of Timisoara, Hunedoara, Romania;Department of Electrical Engineering and Industrial Informatics, "Politechnica" University of Timisoara, Hunedoara, Romania;Department of Electrical Engineering and Industrial Informatics, "Politechnica" University of Timisoara, Hunedoara, Romania;Department of Electrical Engineering and Industrial Informatics, "Politechnica" University of Timisoara, Hunedoara, Romania
Venue:
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Year:
2009

Citing 5
Cited 2

Neural network design

Neural network design
Guided waves damage identification in beams with test pattern dependent series neural network systems

WSEAS Transactions on Signal Processing
The implementation of clean production and the use of neural networks in forecasting waste management

WSEAS Transactions on Systems and Control
Software implementation of a neuronal system which enables the prediction of the wire breaking during continuous casting

CSECS'08 Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing
Neural network solution to the cogeneration system by using coal

ICC'08 Proceedings of the 12th WSEAS international conference on Circuits

Research on the elimination of cracks in continuous casting plant using fuzzy logic

CSECS'09 Proceedings of the 8th WSEAS International Conference on Circuits, systems, electronics, control & signal processing
Applications of fuzzy logic in continuous casting

WSEAS Transactions on Systems and Control

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper work refers to coming up with a management method for the continuous cast process by using a neural system of crack detection, which may lead to removing all the cover cracking and factory rejects caused by this phenomenon. The output signal of the neuronal network causes an improvement of the water flow used for primary cooling of the casting speed, in case it predicts any crack.