Application of Large-scale database-based Online Modeling to plant state long-term estimation

Masatoshi Ogawa; Harutoshi Ogai

doi:10.1541/ieejeiss.131.718

Application of Large-scale database-based Online Modeling to plant state long-term estimation

Masatoshi Ogawa^*, Harutoshi Ogai

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Recently, attention has been drawn to the local modeling techniques of a new idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online Modeling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using both "stepwise selection" and quantization. In order to predict the long-term state of the plant without using future data of manipulated variables, an Extended Sequential Prediction method of LOM (ESP-LOM) has been proposed. In this paper, the LOM and the ESP-LOM are introduced.

Original language	English
Pages (from-to)	718-721
Number of pages	4
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	131
Issue number	4
DOIs	https://doi.org/10.1541/ieejeiss.131.718
Publication status	Published - 2011
Externally published	Yes

Keywords

Just-in-time modeling
Large-scale database
Local modeling
Long-term prediction
Online modeling
Plant

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1541/ieejeiss.131.718

Cite this

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title = "Application of Large-scale database-based Online Modeling to plant state long-term estimation",

abstract = "Recently, attention has been drawn to the local modeling techniques of a new idea called {"}Just-In-Time (JIT) modeling{"}. To apply {"}JIT modeling{"} to a large amount of database online, {"}Large-scale database-based Online Modeling (LOM){"} has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using both {"}stepwise selection{"} and quantization. In order to predict the long-term state of the plant without using future data of manipulated variables, an Extended Sequential Prediction method of LOM (ESP-LOM) has been proposed. In this paper, the LOM and the ESP-LOM are introduced.",

keywords = "Just-in-time modeling, Large-scale database, Local modeling, Long-term prediction, Online modeling, Plant",

author = "Masatoshi Ogawa and Harutoshi Ogai",

year = "2011",

doi = "10.1541/ieejeiss.131.718",

language = "English",

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pages = "718--721",

journal = "IEEJ Transactions on Electronics, Information and Systems",

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publisher = "The Institute of Electrical Engineers of Japan",

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T1 - Application of Large-scale database-based Online Modeling to plant state long-term estimation

AU - Ogawa, Masatoshi

AU - Ogai, Harutoshi

PY - 2011

Y1 - 2011

N2 - Recently, attention has been drawn to the local modeling techniques of a new idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online Modeling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using both "stepwise selection" and quantization. In order to predict the long-term state of the plant without using future data of manipulated variables, an Extended Sequential Prediction method of LOM (ESP-LOM) has been proposed. In this paper, the LOM and the ESP-LOM are introduced.

AB - Recently, attention has been drawn to the local modeling techniques of a new idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online Modeling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using both "stepwise selection" and quantization. In order to predict the long-term state of the plant without using future data of manipulated variables, an Extended Sequential Prediction method of LOM (ESP-LOM) has been proposed. In this paper, the LOM and the ESP-LOM are introduced.

KW - Just-in-time modeling

KW - Large-scale database

KW - Local modeling

KW - Long-term prediction

KW - Online modeling

KW - Plant

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JF - IEEJ Transactions on Electronics, Information and Systems

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Application of Large-scale database-based Online Modeling to plant state long-term estimation

Abstract

Keywords

ASJC Scopus subject areas

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