کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381692 | 1437516 | 2006 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting aerodynamic instabilities in a blast furnace
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Predicting aerodynamic instabilities in a blast furnace Predicting aerodynamic instabilities in a blast furnace](/preview/png/381692.png)
چکیده انگلیسی
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 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 1, February 2006, Pages 103–111
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 1, February 2006, Pages 103–111
نویسندگان
Fco. I. Gamero, Joan Colomer, Joaquim Meléndez, Peter Warren,