Data-based latent variable methods for process analysis, monitoring and control-Reference-Cited by-同舟云学术

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Data-based latent variable methods for process analysis, monitoring and control

Published:2004 Issue: Volume: Page:87-98
ISSN:1570-7946
Container-title:Computer Aided Chemical Engineering
language:
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Author:

MacGregor John F.

Publisher

Elsevier

Reference26 articles.

1. Frameworks for Latent Variable Multivariate Regression;Burnham;J. Chemometrics,1996

2. Latent Variable Multivariate Regression Modeling;Burnham;Chemometrics & Intell. Lab. Systems,1999

3. Product Quality Control in Reduced Dimensional Spaces;Clarke-Pringle;Ind. Eng. Chem. Res.,1998

4. Trouble-shooting of an industrial batch process using multivariate methods;Garcia-Munoz;Ind. & Eng. Chem. Res.,2003

5. Within-batch and batch-to-batch inferential adaptive control of semi-batch reactors;Flores-Cerrillo;Ind. & Eng. Chem. Res.,2003

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1. Opportunities in tensorial data analytics for chemical and biological manufacturing processes;Computers & Chemical Engineering;2020-12

2. Supervisory Control System for Monitoring a Pharmaceutical Hot Melt Extrusion Process;AAPS PharmSciTech;2013-06-26

3. New investigation on diagnosing steam production systems from multivariate time series applied to thermal power plants;Applied Energy;2013-01

4. Multivariate process trajectories: capture, resolution and analysis;Chemometrics and Intelligent Laboratory Systems;2011-08

5. Bayesian method for multirate data synthesis and model calibration;AIChE Journal;2010-07-06

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