DocumentCode :
2195449
Title :
Application of techniques of dimension reduction to predict the steel quality at the end of the secondary steelmaking
Author :
Fernández, Ana M Día ; Méndez, Luis F Sancho ; Blanco, José A Sirgo ; López, Antonio M.
Author_Institution :
Div. de Innovacion e Investigacion, Aceralia Corporacion Siderurgica, Aviles, Spain
Volume :
1
fYear :
2005
fDate :
2-6 Oct. 2005
Firstpage :
537
Abstract :
Nowadays, there is not any model capable to predict the steel quality before the end of the secondary steelmaking where corrective actions are still possible. In this paper it is presented a modelization by SOM (self organizing map) of a Secondary steelmaking facility able to estimate the steel carbon content at the end of the treatment considering process variables. Different network configurations were tested for two different input variables sets in order to obtain the best result, which is measured as the minimum error committed in the estimation.
Keywords :
self-organising feature maps; steel industry; steel manufacture; steel carbon estimation; steel quality; steelmaking; Content addressable storage; Manufacturing processes; Metals industry; Monitoring; Organizing; Oxidation; Predictive models; Slag; Steel; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2005. Fourtieth IAS Annual Meeting. Conference Record of the 2005
ISSN :
0197-2618
Print_ISBN :
0-7803-9208-6
Type :
conf
DOI :
10.1109/IAS.2005.1518359
Filename :
1518359
Link To Document :
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