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

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

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)28-32
Number of pages5
JournalIFAC-PapersOnLine
Volume28
Issue number17
DOIs
Publication statusPublished - 2015 Jul 1

Fingerprint

Melting furnaces
Furnaces
Melting
Gases
Temperature

Keywords

  • JIT modeling
  • LOM
  • PLS
  • Sequential prediction
  • Top gas temperature prediction

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Improvement for large scale database-based online modelling of melting furnace. / Yu, Chunlin; Ogai, Harutoshi; Tanaka, Norihiro; Furuya, Hidehiko; Akaike, Yuhei.

In: IFAC-PapersOnLine, Vol. 28, No. 17, 01.07.2015, p. 28-32.

Research output: Contribution to journalArticle

Yu, Chunlin ; Ogai, Harutoshi ; Tanaka, Norihiro ; Furuya, Hidehiko ; Akaike, Yuhei. / Improvement for large scale database-based online modelling of melting furnace. In: IFAC-PapersOnLine. 2015 ; Vol. 28, No. 17. pp. 28-32.
@article{cf330c0b8ecb437b9ce4a654e338105b,
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",
year = "2015",
month = "7",
day = "1",
doi = "10.1016/j.ifacol.2015.10.072",
language = "English",
volume = "28",
pages = "28--32",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "17",

}

TY - JOUR

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

UR - http://www.scopus.com/inward/record.url?scp=84992493107&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84992493107&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2015.10.072

DO - 10.1016/j.ifacol.2015.10.072

M3 - Article

AN - SCOPUS:84992493107

VL - 28

SP - 28

EP - 32

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 17

ER -