Quality prediction for multi-grade processes by just-in-time latent variable modeling with integration of common and special features-Reference-Cited by-同舟云学术

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Quality prediction for multi-grade processes by just-in-time latent variable modeling with integration of common and special features

Published:2018-12 Issue: Volume:191 Page:31-41
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Liu Jingxiang,Liu Tao,Chen Junghui

Funder

NSF China

Fundamental Research Funds for the Central Universities of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference33 articles.

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2. Frameworks for latent variable multivariate regression;Burnham;J. Chemom.,1996

3. Nonlinear process monitoring using JITL-PCA;Cheng;Chemom. Intell. Lab. Syst.,2005

4. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis;Chiang;Chemom. Intell. Lab. Syst.,2000

5. A bridge between Tucker-1 and Carroll's generalized canonical analysis;Dahl;Comput. Stat. Data Anal.,2006

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