Reliability of analytical systems: Use of control charts, time series models and recurrent neural networks (RNN)

Chemometrics and Intelligent Laboratory Systems

Volumn 40, Issue 1, 1998, Pages 1-18

  Rius, A ^a   Ruisanchez I ^a   Callao, M P ^a   Rius, F X ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

Advanced process control; Control charts; Recurrent neural networks; Statistical process control; Time series models

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENGINEERING; LEARNING; PRIORITY JOURNAL; REVIEW; SPAIN; STATISTICAL ANALYSIS;

EID: 0032076193     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(97)00085-3     Document Type: Review

References (39)

1. Limonard C.B.G. Clin. Chim. Acta. 94:1979;137-154.
2. D.L. Massart, B.G.M. Vandeginste, S.N. Deming, Y. Michotte, L. Kaufman, Chemometrics: a textbook, Elsevier, 1988.
3. Doerffel K., Herfurth G., Liebich V., Wendlandt E. Fresenius J. Anal. Chem. 341:1991;519-523.
4. Doerffel K. Fresenius J. Anal. Chem. 348:1994;183-187.
5. C. Liteanu, I. Rica, Statistical Theory and Methodology of Trace Analysis, Ellis Horwood Limited, Chichester, England, 1980.
6. Doerffel K., Niedtner R., Raschke U., Blase S. Anal. Chim. Acta. 238:1990;55-62.
7. Harris J.H., Boss W.H. Can. J. Chem. Eng. 69:1991;48-57.
8. Box G., Kramer T. Technometrics. 34:1992;251-285.
9. Tucker W.T., Faltin F.W., Vander Wiel S.A. Technometrics. 35:1993;363-375.
10. Y. Chauvin, D.E. Rumelhart, Backpropagation. Theory and Applications, Lawrence Erlbaum Ass. Publ., Hilldale, NJ, 1995.
11. A.S. Weigend, N.A. Gershenfeld (Eds.), Times Series Prediction: Forecasting the Future and Understanding the Past, SFI Studies in the Sciencies of Complexity, Proc. Vol. XV, Addison-Wesley, 1993.
12. Nerrand O., Roussel-Ragot P., Urbani D., Personnaz L., Dreyfus G. IEEE Trans. Neural Networks. 5:1994;178-184.
13. Connor J.T., Douglas R., Atlas L.E. IEEE Trans. Neural Networks. 5:1994;240-254.
14. W.A. Shewhart, Economic Control of Quality, Van Nostrand, 1931.
15. E.L. Grandt, R.S. Leavenworth, Statistical Quality Control, 6th ed., McGraw-Hill, New York, 1988.
16. T.P. Ryan, Statistical methods for Quality Improvment, John Wiley, New York, 1989.
17. Roes K.C.B., Does R.J.M.M., Schurink Y. J. Qual. Technol. 25:1993;188-198.
18. A.J. Duncan, Control de Calidad y Estadística Industrial, Ed. Alfaomega, México, 1989.
19. Champ C.W., Woodall W.H. Technometrics. 29:1987;393-399.
20. Bissell A.F. Bull. Appl. Stat. 5:1978;113-128.
21. Wheeler D.J. J. Qual. Technol. 15:1983;155-170.
22. Page E.S. Biometrika. 42:1955;523-527.
23. E.R. Ott, E.G. Schilling, Process Quality Control, McGraw-Hill, 1990.
24. Woodall W.H. J. Qual. Technol. 18:1986;99-102.
25. Lucas J.M. J. Qual. Technol. 8:1976;1-12.
26. Lucas J.M., Croisier R.B. Technometrics. 24:1982;199-205.
27. Roberts S.W. Technometrics. 1:1959;239-250.
28. Hunter J.S. J. Qual. Technol. 18:1986;203-210.
29. Lucas J.M., Saccucci M.S. Technometrics. 32:1990;1-12.
30. Champ C.W., Woodall W.H. Technometrics. 29:1987;393-399.
31. G.E. Box, G.M. Jenkins, G.C. Reinsel, Time series analysis: forecasting and control, 3rd ed., Prentice Hall, Englewood Cliffs, NJ, 1994.
32. Vasilopoulos A.P., Stamboulis A.P. J. Qual. Technol. 10:1978;20-30.
33. The System Identification toolbox, Matlab. The Mathworks, South Natick, MA, USA.
34. J.F. MacGregor, Chemical Engineering Progress, 1988, pp. 21-31.
35. Smits J.R.M., Melssen W.J., Buydens L.M.C., Kateman G. Chemom. Intell. Lab. Syst. 22:1994;165-189.
36. Wythoff B.J. Chemom. Intell. Lab. Syst. 18:1993;115-155.
37. J. Zupan, J. Gaisteiger, Neural Networks for Chemists, An Introduction, VCH Verlagsgesellschaft, Weinheim, 1993.
38. J. Dayhoff, Neural Network Architectures, An Introduction, Van Nostrand Reinhold, New York, 1990.
39. Rius A., Callao M.P., Rius F.X. The Analyst. 122:1997;737-741.