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ファイル | 記述 | サイズ | フォーマット | |
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j.conengprac.2010.11.013.pdf | 237.11 kB | Adobe PDF | 見る/開く |
タイトル: | Development of correlation-based pattern recognition algorithm and adaptive soft-sensor design |
著者: | Fujiwara, Koichi https://orcid.org/0000-0002-2929-0561 (unconfirmed) Kano, Manabu https://orcid.org/0000-0002-2325-1043 (unconfirmed) Hasebe, Shinji https://orcid.org/0000-0003-0956-5051 (unconfirmed) |
著者名の別形: | 加納, 学 |
キーワード: | Soft-sensor Process observation and parameter estimation Just-In-Time modeling Pattern recognition Principal component analysis |
発行日: | Apr-2012 |
出版者: | Elsevier Ltd. |
誌名: | Control Engineering Practice |
巻: | 20 |
号: | 4 |
開始ページ: | 371 |
終了ページ: | 378 |
抄録: | 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. |
著作権等: | © 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(出版社版): | 10.1016/j.conengprac.2010.11.013 |
出現コレクション: | 学術雑誌掲載論文等 |
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