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j.conengprac.2010.11.013.pdf237.11 kBAdobe PDF見る/開く
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dc.contributor.authorFujiwara, Koichien
dc.contributor.authorKano, Manabuen
dc.contributor.authorHasebe, Shinjien
dc.contributor.alternative加納, 学ja
dc.date.accessioned2012-03-21T07:48:05Z-
dc.date.available2012-03-21T07:48:05Z-
dc.date.issued2012-04-
dc.identifier.issn0967-0661-
dc.identifier.urihttp://hdl.handle.net/2433/154555-
dc.description.abstractAlthough soft-sensors have been used for estimating product quality, they do not always function well due to not only changes in process characteristics but also the individual difference of production devices. Correlation-based Just-In-Time (CoJIT) modeling has been proposed to cope with such changes in process characteristics; however it cannot deal with the individual difference. In the present work, a new pattern recognition method, referred to as the nearest correlation (NC) method is proposed to cope with the individual difference. The proposed NC method is integrated with CoJIT modeling. The advantages of the proposed methods are demonstrated through a case study.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherElsevier Ltd.en
dc.rights© 2010 Elsevier Ltd.en
dc.rightsこの論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。ja
dc.rightsThis is not the published version. Please cite only the published version.en
dc.subjectSoft-sensoren
dc.subjectProcess observation and parameter estimationen
dc.subjectJust-In-Time modelingen
dc.subjectPattern recognitionen
dc.subjectPrincipal component analysisen
dc.titleDevelopment of correlation-based pattern recognition algorithm and adaptive soft-sensor designen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.ncidAA11524541-
dc.identifier.jtitleControl Engineering Practiceen
dc.identifier.volume20-
dc.identifier.issue4-
dc.identifier.spage371-
dc.identifier.epage378-
dc.relation.doi10.1016/j.conengprac.2010.11.013-
dc.textversionauthor-
dcterms.accessRightsopen access-
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