Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017-Reference-Cited by-同舟云学术

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Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017

Published:2018-07-19 Issue:10 Volume:96 Page:2073-2085
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Wang Youqing¹²^ORCID,Si Yabin²,Huang Biao³,Lou Zhijiang²

Affiliation:

1. College of Electrical Engineering and Automation; Shandong University of Science and Technology

2. College of Information Science and Technology; Beijing University of Chemical Technology

3. Department of Chemical and Materials Engineering; University of Alberta

Funder

Taishan Scholar Project of Shandong Province

National Natural Science Foundation of China

Shandong Province Science Fund for Distinguished Young Scholars

Publisher

Wiley

Subject

General Chemical Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjce.23249/fullpdf

Reference112 articles.

1. Model-Based Monitoring and Control of Industrial Freeze-Drying Processes: Effect of Batch Nonuniformity

2. Intelligent process monitoring by interfacing knowledge-based systems and multivariate statistical monitoring

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

4. Automation in the food processing industry: distributed control systems

5. Root cause analysis in multivariate statistical process monitoring: Integrating reconstruction-based multivariate contribution analysis with fuzzy-signed directed graphs

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