Predicting aerodynamic instabilities in a blast furnace

This paper discusses the analysis of differential pressure signals in a blast furnace stack by using principal component analysis (PCA) and qualitative trend analysis (QTA) based on episodes. These methods can work jointly or separately and are applied using two toolboxes developed within the Europe...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence 2006-02, Vol.19 (1), p.103-111
Main Authors: Gamero, Fco. I., Colomer, Joan, Meléndez, Joaquim, Warren, Peter
Format: Article
Language:English
Subjects:
Principal component analysis
Qualitative trend analysis
Reasoning
Signal analysis
Supervision
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Summary:This paper discusses the analysis of differential pressure signals in a blast furnace stack by using principal component analysis (PCA) and qualitative trend analysis (QTA) based on episodes. These methods can work jointly or separately and are applied using two toolboxes developed within the European CHEM project. 1 1 http://www.chem-dss.org. The objective in this paper is to predict aerodynamic instability in a blast furnace with sufficient warning to enable the blast volume to be reduced in order to minimise that instability. Both methods based on signals and the expert knowledge provide an efficient approach to slip prediction.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2005.05.006