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

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

doi:10.1016/j.ifacol.2015.10.072

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

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

大学院情報生産システム研究科

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
巻	28
号	17
DOI	https://doi.org/10.1016/j.ifacol.2015.10.072
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 25 → 2015 8 27

ASJC Scopus subject areas

制御およびシステム工学

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10.1016/j.ifacol.2015.10.072

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引用スタイル

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title = "Improvement for large scale database-based online modelling of melting furnace",

abstract = "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.",

keywords = "JIT modeling, LOM, PLS, Sequential prediction, Top gas temperature prediction",

author = "Chunlin Yu and Harutoshi Ogai and Norihiro Tanaka and Hidehiko Furuya and Yuhei Akaike",

note = "Publisher Copyright: {\textcopyright} 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; 4th IFAC Workshop on Mining, Mineral and Metal Processing, MMM 2015 ; Conference date: 25-08-2015 Through 27-08-2015",

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T1 - Improvement for large scale database-based online modelling of melting furnace

AU - Yu, Chunlin

AU - Ogai, Harutoshi

AU - Tanaka, Norihiro

AU - Furuya, Hidehiko

AU - Akaike, Yuhei

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

KW - JIT modeling

KW - LOM

KW - PLS

KW - Sequential prediction

KW - Top gas temperature prediction

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T2 - 4th IFAC Workshop on Mining, Mineral and Metal Processing, MMM 2015

Y2 - 25 August 2015 through 27 August 2015

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

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