Dynamic Principal Component Analysis Based Methodology for Clustering Process States in Agile Chemical Plants-Reference-Cited by-同舟云学术

Dynamic Principal Component Analysis Based Methodology for Clustering Process States in Agile Chemical Plants

Published:2004-03-25 Issue:9 Volume:43 Page:2123-2139
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Srinivasan R.¹,Wang C.¹,Ho W. K.¹,Lim K. W.¹

Affiliation:

1. Departments of Chemical and Environmental Engineering and of Electrical and Computer Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie034051r

Reference28 articles.

1. Supervisory control of wastewater treatment plants by combining principal component analysis and fuzzy c-means clustering

2. Alarm management in batch process control

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