Multivariate statistical estimation of product quality in the industrial batch production of a resin

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 40, Issue 5, 2007, Pages 93-98

  Facco, Pierantonio ^a   Olivi, Michele ^b   Rebuscini, Claudio ^b   Bezzo, Fabrizio ^a   Barolo, Massimiliano ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b Sirca SpA Resins and Coatings   (Italy)

Author keywords

Multivariate quality control; Soft sensing; Statistical inference

Indexed keywords

ESTIMATION; MULTIVARIANT ANALYSIS; RESINS;

BATCH POLYMERIZATIONS; BATCH PRODUCTION; MULTIVARIATE QUALITY CONTROL; QUALITY ESTIMATION; SOFT SENSING; STATISTICAL ESTIMATION; STATISTICAL ESTIMATORS; STATISTICAL INFERENCE;

PROCESS CONTROL;

EID: 60649091206     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20070606-3-MX-2915.00063     Document Type: Conference Paper

References (12)

1. Garcia-Muñoz, S., T. Kourti, J.F. MacGregor, A. G. Mateos and G. Murphy (2003). Troubleshooting of an industrial batch process using multivariate methods. Ind. Eng. Chem. Res., 42, 3592-3601.
2. Geladi, P. and R. Kowalski (1986). Partial least squares regression: a tutorial. Anal. Chim. Acta, 185, 1-17
3. Kourti, T. (2003). Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions. J. Chemom., 17, 93-109.
4. Kourti, T. (2005). Application of latent variable methods to process control and multivariate statistical process control in industry. Int. J. Adapt. Control Signal Process., 19, 213-246.
5. Kourti, T. and J.F. MacGregor (1995). Process analysis, monitoring and diagnosis, using multivariate projection methods. Chemometrics Int. Lab. Syst., 28, 3-21.
6. MacGregor, J.F., C. Jaeckle, C. Kiparissides and M. Koutoudi (1994). Process monitoring and diagnosis by multiblock PLS methods. AIChE J., 40, 826-838.
7. MacGregor, J.F. and T. Kourti (1995). Statistical process control of multivariate processes. Control Eng. Practice, 3, 403-414.
8. Nomikos, P. and J.F. MacGregor (1994). Monitoring batch processes using multiway principal component analysis. AIChE J., 40, 1361-1375.
9. Ündey, C., S. Ertunç and A. Çinar (2003). Online batch/fed-batch process performance monitoring, quality prediction, and variable-contribution analysis for diagnosis. Ind. Eng. Chem. Res., 42, 4645-4658.
10. Wold., S. (1978). Cross-validatory estimation of of the number of components in factor and principal component methods. Technometrics, 20, 397-405.
11. Wold, S., N. Kettaneh, H. Fridén and A. Holmberg (1998). Modelling and diagnosis of batch processes and analogous kinetic experiments. Chemometrics Intell. Lab. Syst., 44, 331-340.
12. Yu, H., J.F. MacGregor, G. Haarsma and W. Bourg (2003). Digital imaging for online monitoring and control of industrial food processes. Ind. Eng. Chem. Res., 42, 3036-3044.