On-line principal component analysis with application to process modeling-Reference-Cited by-同舟云学术

On-line principal component analysis with application to process modeling

Published:2012-04 Issue: Volume:82 Page:167-178
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Tang Jian,Yu Wen,Chai Tianyou,Zhao Lijie

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. Soft-sensors for process estimation and inferential control;Tham;J. Process Control,1991

2. Data-driven soft-sensors in the process industry;Kadlec;Comput. Chem. Eng.,2009

3. Principal Component Analysis;Jolliffe,2002

4. B.M. Wise and N.L. Ricker, Recent advances in multivariate statistical process control: improving robustness and sensitivity, in: Proceedings of the IFAC, ADCHEM Symposium, 1991, pp. 125–130.

5. Statistical process control of multivariate process;MacGregor;Control Eng. Pract.,1995

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