Improvement for Large scale database-based Online Modelling of Melting Furnace

Autor:	Chunlin Yu, Norihiro Tanaka, Harutoshi Ogai, Yuhei Akaike, Hidehiko Furuya
Rok vydání:	2015
Předmět:	Engineering Database Control and Systems Engineering business.industry Sequence prediction Melting furnace Quantization (signal processing) Local regression business computer.software_genre computer
Zdroj:	IFAC-PapersOnLine. 48:28-32
ISSN:	2405-8963
DOI:	10.1016/j.ifacol.2015.10.072
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fdf5f9736467f0aadb74665c50866e6e https://doi.org/10.1016/j.ifacol.2015.10.072 Zobrazit plný text záznamu