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Title: Development of correlation-based pattern recognition algorithm and adaptive soft-sensor design
Authors: Fujiwara, Koichi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-2929-0561 (unconfirmed)
Kano, Manabu  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-2325-1043 (unconfirmed)
Hasebe, Shinji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-0956-5051 (unconfirmed)
Author's alias: 加納, 学
Keywords: Soft-sensor
Process observation and parameter estimation
Just-In-Time modeling
Pattern recognition
Principal component analysis
Issue Date: Apr-2012
Publisher: Elsevier Ltd.
Journal title: Control Engineering Practice
Volume: 20
Issue: 4
Start page: 371
End page: 378
Abstract: Although 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.
Rights: © 2010 Elsevier Ltd.
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。This is not the published version. Please cite only the published version.
URI: http://hdl.handle.net/2433/154555
DOI(Published Version): 10.1016/j.conengprac.2010.11.013
Appears in Collections:Journal Articles

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