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|j.conengprac.2010.11.013.pdf||237.11 kB||Adobe PDF||View/Open|
|Title:||Development of correlation-based pattern recognition algorithm and adaptive soft-sensor design|
|Authors:||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)
|Author's alias:||加納, 学|
Process observation and parameter estimation
Principal component analysis
|Journal title:||Control Engineering Practice|
|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.|
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|Appears in Collections:||Journal Articles|
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