Multiphase calibration modeling and quality interpretation by priority sorting

Chemical Engineering Science

Volumn 66, Issue 21, 2011, Pages 5400-5409

  Zhao, Chunhui ^a   Gao, Furong ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Multiphase batch processes; Prediction; Predictor LV plane; Priority sorting; Quality interpretation; Quality critical phase

Indexed keywords

BATCH PROCESS; DIFFERENT EFFECTS; LATENT VARIABLE; MULTIPHASE PROCESS; PHASE INFORMATION; PREDICTOR LV PLANE; PRIORITY SORTING; QUALITY ANALYSIS; QUALITY PREDICTION; QUALITY-CRITICAL PHASE; STATISTICAL REGRESSION;

BATCH DATA PROCESSING;

CALIBRATION;

EID: 80051901618     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2011.07.057     Document Type: Article

References (32)

1. Anderson T.W. Canonical correlation analysis and reduced rank regression in autoregressive models. Ann. Stat. 2002, 30(4):1134-1154.
2. Berglund A., Wold S. A serial extension of multiblock PLS. J. Chemometrics 1999, 13(3-4):461-471.
3. Brereton R.G. Introduction to multivariate calibration in analytical chemistry. Analyst 2000, 125(11):2125-2154.
4. Burnham A.J., Viveros R., MacGregor J.F. Frameworks for latent variable multivariate regression. J. Chemometrics 1996, 10(1):31-45.
5. Camacho J., Pico J. Multi-phase analysis framework for handling batch processes data. J. Chemometrics 2008, 22(11-12):632-643.
6. Cserhati T., Kosa A., Balogh S. Comparison of partial least-square method and canonical correlation analysis in a quantitative structure-retention relationship study. J. Biochem. Biophys. Methods 1998, 36(2-3):131-141.
7. Doyal B.S., MacGregor J.F. Improved PLS algorithms. J. Chemometrics 1997, 11(1):73-85.
8. Ergon R. Reduced PCR/PLSR models by subspace projections. Chemometrics Intell. Lab. Syst. 2006, 81(1):68-73.
9. Hoskuldsson A., Svinning K. Modelling of multi-block data. J. Chemometrics 2006, 20(8-10):376-385.
10. Hoskuldsson A., Rodionova O., Pomerantsev A. Path modeling and process control. Chemometrics Intell. Lab. Syst. 2007, 88(1):84-99.
11. Kleinbaum D.G., Kupper L.L., Muller K.E., Nizam A. Applied Regression Analysis and Other Multivariable Methods 2003, Wadsworth Publishing Co Inc, California. third ed.
12. Lindgren F., Geladi P., Wold S. The kernel algorithm for PLS. J. Chemometrics 1993, 7(1):45-59.
13. Lopes J.A., Menezes J.C., Westerhuis J.A., Smilde A.K. Multiblock PLS analysis of an industrial pharmaceutical process. Biotechnol. Bioeng. 2002, 80(4):419-427.
14. Lu N.Y., Gao F.R. Stage-based process analysis and quality prediction for batch processes. Ind. Eng. Chem. Res. 2005, 44(10):3547-3555.
15. Lu N.Y., Gao F.R. Stage-based online quality control for batch processes. Ind. Eng. Chem. Res. 2006, 45(7):2272-2280.
16. Martens H., Naes T. Multivariate Calibration 1994, Wiley, Chichester. second ed.
17. Muteki K., MacGregor J.F. Multi-block PLS modeling for L-shape data structures with applications to mixture modeling. Chemometrics Intell. Lab. Syst. 2007, 85(2):186-194.
18. Nomikos P., MacGregor J.F. Multi-way partial least squares in monitoring batch processes. Chemometrics Intell. Lab. Syst. 1995, 30(1):97-108.
19. Qin S.J., Valle S., Piovoso M.J. On unifying multiblock analysis with application to decentralized process monitoring. J. Chemometrics 2001, 15(9):715-742.
20. Reinikainen S., Hoskuldsson A. Multivariate statistical analysis of a multi-step industrial processes. Anal. Chim. Acta 2007, 595(1-2):248-256.
21. Tenenhaus M., Vinzi V.E. PLS regression, PLS path modeling and generalized procrustean analysis: a combined approach for multiblock analysis. J. Chemometrics 2005, 19(3):145-153.
22. van den Wollenberg A.L. Redundancy analysis an alternative for CCA. Psychometrika 1977, 42(2):207-219.
23. Wang X.L.L., Zwiers F.W. Using redundancy analysis to improve dynamical seasonal mean 500hPa geopotential forecasts. Int. J. Climatol. 2001, 21(5):637-654.
24. Westerhuis J.A., Kourti T., MacGregor J.F. Analysis of multiblock and hierarchical PCA and PLS models. J. Chemometrics 1998, 12(5):301-321.
25. Yamamoto H., Yamaji H., Fukusaki E., Ohno H., Fukuda H. Canonical correlation analysis for multivariate regression and its application to metabolic fingerprinting. Biochem. Eng. J. 2008, 40(2):199-204.
26. Yang Y., Gao F. Cycle-to-cycle and within-cycle adaptive control of nozzle pressures during packing-holding for thermoplastic injection molding. Polym. Eng. Sci. 1999, 39:2042-2064.
27. Yang Y., Gao F. Adaptive control of the filling velocity of thermoplastics injection molding. Control Eng. Pract. 2000, 8:1285-1296.
28. Yao Y., Gao F.R. A survey on multistage/multiphase statistical modeling methods for batch processes. Ann. Rev. Control 2009, 33(2):172-183.
29. Yu H.L., MacGregor J.F. Post processing methods (PLS-CCA): simple alternatives to preprocessing methods (OSC-PLS). Chemometrics Intell. Lab. Syst. 2004, 73(2):199-205.
30. Zhao C.H., Wang F.L., Mao Z.Z., Lu N.Y., Jia M.X. Improved batch process monitoring and quality prediction based on multiphase statistical analysis. Ind. Eng. Chem. Res. 2008, 47(3):835-849.
31. Zhao C.H., Wang F.L., Gao F.R. Improved calibration investigation using phase-wise local and cumulative quality interpretation and prediction. Chemometrics Intell. Lab. Syst. 2009, 95(2):107-121.
32. Zhao C.H., Gao F.R., Wang F.L. An improved independent component regression modeling and quantitative calibration procedure. AICHE J. 2010, 56(6):1519-1535.