Improvement for Large scale database-based Online Modelling of Melting Furnace. Issue 17 (2015)

• Record Type: Journal Article
• Authors: Yu, Chunlin; Ogai, Harutoshi; Tanaka, Norihiro; Furuya, Hidehiko; Akaike, Yuhei
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 17(2015)
• Page Start: 28
• Page End: 32
• Publication Date: 2015
• Subjects: LOM -- JIT modeling -- PLS -- sequential prediction -- top gas temperature prediction; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.10.072
• Languages: English
• ISSNs: 2405-8963

Abstract

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.