The introduction of process chemometrics into an industrial pilot plant laboratory

Chemometrics and Intelligent Laboratory Systems

Volumn 44, Issue 1-2, 1998, Pages 319-330

  Gurden, S P ^a   Martin, E B ^a   Morris, A J ^a  

^a Chemometrics Contr Dept Chem P   (United Kingdom)

Author keywords

Industrial pilot plant laboratory; Multivariate statistical methods; Process chemometrics

Indexed keywords

CHEMICAL ENGINEERING; CHEMOMETRICS; CONFERENCE PAPER; LABORATORY; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUALITY CONTROL; STATISTICAL ANALYSIS;

EID: 0032517782     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(98)00119-1     Document Type: Conference Paper

References (28)

1. Kresta J.V., MacGregor J.F., Marlin T.E. Multivariate statistical monitoring of process operating performance. Canadian Journal of Chemical Engineering. 69:1991;35-47.
2. Kourti T., Lee J., MacGregor J.F. Experiences with industrial applications of projection methods for multivariate statistical process control. Computers and Chemical Engineering. 20:1996;S745-S750.
3. MacGregor J.F., Kourti T. Statistical process control of multivariate processes. Control Engineering Practice. 3:1995;403-414.
4. Martin E.B., Morris A.J. An overview of multivariate statistical process control in continuous and batch process performance monitoring. Transactions of the Institute of Measurement and Control. 18:1996;51-60.
5. Martin E.B., Morris A.J., Zhang J. Process performance monitoring using multivariate statistical process control. IEE Proceedings - Control Theory and Applications. 143:1996;132-144.
6. Kasper M.H., Ray W.H. Chemometrics methods for process monitoring and high-performance controller design. American Institute of Chemical Engineers Journal. 38:1992;1593-1609.
7. Wise B.M. Using the PLS_Toolbox in PAC applications. Process Control and Quality. 5:1993;73-85.
8. Wise B.M., Gallagher N.B. The process chemometrics approach to process monitoring and fault-detection. Journal of Process Control. 6:1996;329-348.
9. Piovoso M.J., Kosanovich K.A., Yuk J.P. Process data chemometrics. IEEE Transactions on Instrumentation and Measurement. 41:1992;262-268.
10. Skagerberg B., MacGregor J.F., Kiparissides C. Multivariate data analysis applied to low-density polyethylene reactors. Chemometrics and Intelligent Laboratory Systems. 14:1992;341-356.
11. Hartnett M., Lightbody G., Irwin B.R. Chemometric techniques in multivariate statistical modelling of process plant. Analyst. 121:1996;749-754.
12. Carey W.P. Multivariate sensor arrays as industrial and environmental monitoring systems. Trends in Analytical Chemistry. 13:1994;210-218.
13. Banks D.L., Parmigiani G. Preanalysis of superlarge industrial data sets. Journal of Quality Technology. 24:1992;115-129.
14. Friedman J.H., Grosse E., Stuetzle W. Multidimensional additive spline approximation. SIAM Journal of Scientific and Statistical Computing. 4:1983;291-301.
15. G.E.P. Box, G.M. Jenkins, G.C. Reinsel, Time Series Analysis: Forecasting and Control, 3rd edn., Prentice-Hall, NJ, 1994.
16. H. Martens, T. Næs, Multivariate Calibration, Wiley, Chichester, 1989.
17. R.G. Brereton (Ed.), Multivariate Pattern Recognition in Chemometrics, Elsevier, Amsterdam, 1992.
18. Windig W. Mixture analysis of spectral data by multivariate methods. Chemometrics and Intelligent Laboratory Systems. 4:1988;201-213.
19. Wold S., Esbensen K., Geladi P. Principal component analysis. Chemometrics and Intelligent Laboratory Systems. 2:1987;37-52.
20. I.T. Joliffe, Principal Component Analysis, Springer-Verlag, New York, 1986.
21. Martin E.B., Morris A.J. Nonparametric confidence-bounds for process performance monitoring charts. Journal of Process Control. 6:1996;349-358.
22. P. Miller, R.E. Swanson, C.E. Heckler, Contribution plots: the missing link in multivariate quality control, 37th Annual Fall Conference ASQC, Rochester, NY, 1993.
23. MacGregor J.F., Jaeckle C., Kiparissides C., Koutoudi C. Process monitoring and diagnosis by multiblock PLS methods. AIChE Journal. 40:1994;826-838.
24. Kourti T., MacGregor J.F. Multivariate SPC methods for process and product monitoring. Journal of Quality Technology. 28:1996;409-428.
25. C. Chatfield, The Analysis of Time Series: An Introduction, 5th edn., Chapman & Hall, London, 1996.
26. Wold S., Geladi P., Esbensen K., Öhman J. Multi-way principal components- and PLS-analysis. Journal of Chemometrics. 1:1987;41-56.
27. Nomikos P., MacGregor J.F. Multivariate SPC charts for monitoring batch processes. Technometrics. 37:1995;41-59.
28. Kosanovich K.A., Dahl K.S., Piovoso M.J. Improved process understanding using multiway principal component analysis. Industrial and Engineering Chemical Research. 35:1996;138-146.