Identification of liquid state of scrap in electric arc furnace by the use of computational intelligence methods

Authors:
Marcin Blachnik;Tadeusz Wieczorek;Krystian Mączka;Grzegorz Kopeć
Affiliations:
Silesian University of Technology, Katowice, Poland;Silesian University of Technology, Katowice, Poland;Silesian University of Technology, Katowice, Poland;Silesian University of Technology, Katowice, Poland
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Year:
2010

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Abstract

A constant aspiration to optimize electric arc steelmaking process causes an increase of the use of advanced analytical methods for the process support. Optimization of the production processes lead to real benefits, which are, for example, lower costs of production. More often computational intelligence methods are used for this purpose. In this paper authors present three methods used for identification of liquid state of scrap in electric arc furnace using analysis of signals of the current of furnace electrodes.