Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem

Author:

Kano Manabu,Nagao Koji,Hasebe Shinji,Hashimoto Iori,Ohno Hiromu,Strauss Ramon,Bakshi Bhavik R.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference29 articles.

1. Aradhye, H. B., Bakshi, B. R., Strauss, R. A., & Davis, J. F. (2000). Multiscale statistical process control using wavelets—Theoretical analysis and properties. Technical report, Ohio State University.

2. Multiscale PCA with application to multivariate statistical process monitoring;Bakshi;American Institute of Chemical Engineering Journal,1998

3. Predictive on-line monitoring of continuous processes;Chen;J. Proc. Cont.,1998

4. A plant-wide industrial process control problem;Downs;Computers and Chemical Engineering,1993

5. Identification of faulty sensors using principal component analysis;Dunia;American Institute of Chemical Engineering Journal,1996

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