Improvement for large scale database-based online modelling of melting furnace

Chunlin Yu, Harutoshi Ogai, Norihiro Tanaka, Hidehiko Furuya, Yuhei Akaike

研究成果: Conference article査読

1 被引用数 (Scopus)

抄録

Recently, attention has been drawn by the local modeling techniques of an idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online modelling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using stepwise method and quantization. This paper reports the improvement of LOM, a computerized sequential prediction method which uses a local regression model by PLS, on the shaft-furnace direct melting system (melting furnace). The gas temperature prediction of the furnace is done without delay.

本文言語English
ページ(範囲)28-32
ページ数5
ジャーナルIFAC-PapersOnLine
28
17
DOI
出版ステータスPublished - 2015 7 1
イベント4th IFAC Workshop on Mining, Mineral and Metal Processing, MMM 2015 - Oulu, Finland
継続期間: 2015 8 252015 8 27

ASJC Scopus subject areas

  • 制御およびシステム工学

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