Data-based methods for process analysis, monitoring and control

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 16, 2003, Pages 981-991

  MacGregor, John F ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

control; identification; Latent variables; monitoring; PCA; PLS; soft sensors; subspace models

Indexed keywords

CONTROL ENGINEERING; IDENTIFICATION (CONTROL SYSTEMS); MONITORING; PROCESS MONITORING;

HISTORICAL DATABASE; LATENT VARIABLE; LATENT VARIABLE METHODS; LATENT VARIABLE MODELS; MONITORING AND CONTROL; SOFT SENSORS; SUBSPACE IDENTIFICATION; SUBSPACE MODELS;

PROCESS CONTROL;

EID: 84875575643     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)34888-7     Document Type: Conference Paper

References (37)

1. A.J. Burnham, R. Viveros-Aquilera, and J.F. MacGregor Frameworks for Latent Variable Multivariate Regression J. Chemometrics 10 1996 31 46
2. A. Burnham, R. Viveros, and J.F. MacGregor Latent Variable Multivariate Regression Modeling. Chemometrics & Intell. Lab. Sys 48 1999 167
3. T.L. Clarke-Pringle, and J.F. MacGregor Product Quality Control in Reduced Dimensional Spaces Ind. Eng. Chem. Res 37 1998 3992 4002
4. B.S. Dayal, and J.F. MacGregor Improved PLS Algorithms J. Chemometrics 11 1997 73 85
5. B.S. Dayal, and J.F. MacGregor Recursive Exponentially Weighted PLS and its Applications to Adaptive Control and Prediction J. Process Control 7 1997 169 179
6. S. Garcia-Munoz, T. Kourti, J.F. MacGregor, A.G. Mateos, and G. Murphy Troubleshooting of an industrial batch process using multivariate methods Ind. & Eng. Chem. Res 2003 In press
7. J. Flores-Cerrillo, and J.F. MacGregor Within-batch and batch-to-batch inferential adaptive control of semi-batch reactors Ind. & Eng. Chem. Res 2003 In Press a
8. J. Flores-Cerrillo, and J.F. MacGregor Semi-batch trajectory control in dimensional spaces Proc. IFAC ADCHEM'2003 Hong Kong 2003
9. P. Geladi, and B.R. Kowalski Partial Least Squares Regression: A Tutorial"' Anal. Chim. Acta 185 1 1986 1
10. P. Geladi, and H. Grahn Multivariate Image Analysis 1996 John Wiley & Sons Chichester, England
11. J. Gertler Fault detection and diagnosis in Engineering Systems 1998 Marcel Dekker New York
12. J. Kresta, J.F. MacGregor, and T.E. Marlin Building Inferential Models Using PLS Regression Computers Chem. Eng 18 1994 597 611
13. T. Kourti, and J.F. MacGregor Recent Developments in Multivariate SPC Methods for Monitoring and Diagnosing Process and Product Performance Journal Of Quality Tech 28 1996 409
14. F. Lingren, P. Geladi, and S. Wold The kernel algorithm for PLS J. Chemometrics 7 1993 45
15. J.F. MacGregor, T. Kourti, and J.V. Kresta Multivariate Identification: A Study of several Methods Proc. of IFAC Symposium ADCHEM-91 Toulouse, France. 1991
16. J.F. MacGregor, C. Jaeckle, C. Kiparissides, and M. Koutoudi Process monitoring and diagnosis by multiblock PLS methods Amer. Inst.Chem. Eng. J 40 1994 826 838
17. J.F. MacGregor, and T. Kourti Statistical process control of multivariable processes Control Eng. Practice 3 1995 403 414
18. J.F. MacGregor Multivariate statistical approaches to fault detection and identification Proc. IFAC Safeprocess'2003 Washington, DC. 2003
19. K.V. Mardia, J.T. Kent, and J.M. Bibby Multivariate Analysis 1979 Academic Press London
20. P. Miller, R.E. Swanson, and C.E. Heckler Contribution Plots: The missing link in multivariate quality control Appl. Math. & Comp. Sci 8 1998 775 782
21. Nelson, P.A. Taylor, and J.F. MacGregor Missing Data Methods in PCA and PLS: Score Calculations with Incomplete Observations J. Chemometrics & Intell. Lab. Syst 35 1996 45 65
22. P. Nomikos, and J.F. MacGregor Monitoring batch processes using multiway principal component analysis Amer. Inst.Chem. Eng. J 40 1994 1361 1375
23. P. Nomikos, and J.F. MacGregor Multivariate SPC charts for monitoring batch processes Technometrics 37 1 1995 41 59
24. P. Nomikos Detection and Diagnosis of Abnormal Batch Operations Based on Multiway Principal Component Analysis ISA Transactions 35 1996 259 267
25. S. Rannar, F. Lingren, P. Geladi, and S. Wold A PLS kernel algorithm for data sets with many variables and fewer objects J. Chemometrics 8 1994 111
26. A. Rigopoulos, A. Arkun, and F. Kayihan Identification of full profile disturbance models for sheet forming processes AIChE J 43 1997 727
27. J. Roffel, J.F. MacGregor, and T.W. Hoffman Design and implementation of a multivariable internal model controller for a continuous polybutadiene polymerization train Rijnsdorp MacGregor Tyreus Takamatsu Proc. IFAC DYCOD'89 1989 Pergamon Press
28. R. Shi, and J.F. MacGregor A UnifYing Framework for Subspace Identification Methods Proc. American Control Conference Maryland, USA 2001
29. T. Soderstrom, and P. Stoica System Identification 1989 Prentice Hall
30. M.K. Tso Reduced rank regression and canonical analysis J. Roy. Statis. Soc., B 43 1981 183 189
31. S. Wold Cross-Validatory Estimation of the number of components in factor and principal component models Technometrics 20 1978 397 405
32. S. Wold, N. Kettaneh-Wold, and B. Skagerberg Nonlinear PLS modeling Chemometrics and Intell. Lab. Syst 7 1989 53
33. F. Yacoub, and J.F. MacGregor Analysis and optimization of a polyurethane reaction injection molding (RIM) process using multivariate projection methods Chem. & Intell. Lab. Syst 65 2002 17 33
34. S. Yoon, and J.F. MacGregor Relationships between Statistical and Causal Model-Based Approaches to Fault Detection and Isolation Amer. Inst. Chem. Eng. J 46 2000 1813 1824
35. H. Yu, and J.F. MacGregor Monitoring Turbulent Nonpremixed Flames in an Industrial Boiler Using Multivariate Image Analysis (MIA) Proc. Safeprocess'2003 Washington, DC. 2003
36. H. Yu, and J.F. MacGregor Digital imaging for on-line monitoring and control of industrial snack food processes Ind. & Eng. Chem. Res 2003 In press b
37. H. Yu, and J.F. MacGregor Digital imaging for process monitoring and control with industrial applications Proc. IFAC ADCHEM'2003 Hong Kong 2003 c