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1
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0011247123
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Optimization and control
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R.Tranter, Ed. Sheffield, U.K.: Sheffield Academic
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T. Kourti, “Optimization and control,” in Design and Analysis in Chemical Research,R.Tranter, Ed. Sheffield, U.K.: Sheffield Academic, 2000, pp. 314-364.
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Design and Analysis in Chemical Research
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Kourti, T.1
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2
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0028905904
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Process analysis, monitoring and diagnosis using multivariate projection methods-A tutorial
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T. Kourti and J.F. MacGregor, “Process analysis, monitoring and diagnosis using multivariate projection methods-A tutorial,” Chemomet. Intell. Lab. Syst., vol. 28, pp. 3-21, 1995.
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(1995)
Chemomet. Intell. Lab. Syst.
, vol.28
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Kourti, T.1
MacGregor, J.F.2
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3
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0030262558
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Recent developments in multivariate SPC methods for monitoring and diagnosing process and product performance
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T. Kourti and J.F. MacGregor, “Recent developments in multivariate SPC methods for monitoring and diagnosing process and product performance,” J. Quality Technol., vol. 28, no. 4, pp. 409-428, 1996.
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(1996)
J. Quality Technol.
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, pp. 409-428
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Kourti, T.1
MacGregor, J.F.2
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4
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0033743575
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On-line monitoring of a latex emulsion polymerization by fiber-optic FT-Raman spectroscopy. Part I: Calibration
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C. Bauer, B. Amram,M. Agnely, D. Charmot, J. Sawatzki, N. Dupuy, and J.P. Huvenne, “On-line monitoring of a latex emulsion polymerization by fiber-optic FT-Raman spectroscopy. Part I: Calibration,” Appl. Spectrosc., vol. 54, no. 4, pp. 528-535, 2000.
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Appl. Spectrosc.
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Bauer, C.1
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Charmot, D.4
Sawatzki, J.5
Dupuy, N.6
Huvenne, J.P.7
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5
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0002532896
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On-line latex particle size determination by dynamic light scattering, designed for an industrial environment
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T. Provder, Ed. ACS Symp. Ser., Amer. Chem. Soc., Washington, D.C.
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D.F. Nicoli, T. Kourti, P.D. Gossen, J-S. Wu, J.F. MacGregor, and Y-J. Chang, “On-line latex particle size determination by dynamic light scattering, designed for an industrial environment,” Particle Size Characterization, T. Provder, Ed. ACS Symp. Ser., vol. 472. Amer. Chem. Soc., Washington, D.C., 1991, pp. 86-97.
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Particle Size Characterization
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Nicoli, D.F.1
Kourti, T.2
Gossen, P.D.3
Wu, S.4
MacGregor, J.F.5
Chang, J.6
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6
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79959774395
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Turbidimetry in particle size analysis
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R.A. Meyers, Ed. New York: Wiley, Chichester
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T. Kourti, “Turbidimetry in particle size analysis,” Encyclopedia of Analytical Chemistry: Instrumentation and Applications. R.A. Meyers, Ed. New York: Wiley, Chichester, 2000, pp. 5549-5580.
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(2000)
Encyclopedia of Analytical Chemistry: Instrumentation and Applications
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Kourti, T.1
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7
-
-
0001497409
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Composition and particle diameter for styrene/methyl methacrylate copolymer latex using UV and NIR spectroscopy
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P.D. Gossen, J.F. MacGregor, and R.H. Pelton, “Composition and particle diameter for styrene/methyl methacrylate copolymer latex using UV and NIR spectroscopy,” Appl. Spectrosc., vol. 47, no. 11, pp.1852-1870, 1993
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Appl. Spectrosc.
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Gossen, P.D.1
MacGregor, J.F.2
Pelton, R.H.3
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8
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0003658046
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A User's Guide to Principal Components
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New York: Wiley
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J.E. Jackson, A User's Guide to Principal Components. New York: Wiley, 1991.
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(1991)
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Jackson, J.E.1
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9
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84951601886
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Cross-validatory estimation of the number of components in factor and principal components model
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S.Wold, “Cross-validatory estimation of the number of components in factor and principal components model,” Technometrics, vol. 20, no. 4, pp. 397-405, 1978.
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Wold, S.1
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10
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2842581444
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Frameworks for latent variable multivariate regression
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A.J. Burnham, R. Viveros, and J.F. MacGregor, “Frameworks for latent variable multivariate regression,” J. Chemometr., vol. 10, pp. 31-45, 1996.
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J. Chemometr.
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Burnham, A.J.1
Viveros, R.2
MacGregor, J.F.3
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11
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0030296884
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Missing data methods in PCA and PLS: Score calculations with incomplete observations
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P.R.C. Nelson, P.A. Taylor, and J.F. MacGregor, “Missing data methods in PCA and PLS: Score calculations with incomplete observations,” Chemometr. Intell. Lab. Syst., vol. 35, pp. 45-65, 1996.
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(1996)
Chemometr. Intell. Lab. Syst.
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Nelson, P.R.C.1
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MacGregor, J.F.3
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12
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0003000612
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Non-linear estimation by iterative least squares procedures
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F. David, Ed. New York: Wiley
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H. Wold, “Non-linear estimation by iterative least squares procedures,” in Research Papers in Statistics, F. David, Ed. New York: Wiley, 1966.
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in Research Papers in Statistics
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Wold, H.1
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13
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0029703047
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Experiences with industrial applications of projection methods for multivariate statistical control
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(Suppl.)
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T. Kourti, J. Lee, and J.F. MacGregor, “Experiences with industrial applications of projection methods for multivariate statistical control,” Comput. Chem. Eng., vol. 20 (Suppl.), pp. S745-S750, 1996.
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(1996)
Comput. Chem. Eng.
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Kourti, T.1
Lee, J.2
MacGregor, J.F.3
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14
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0011188067
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Multivariate statistical treatment of historical data for productivity and quality improvements
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J.F. MacGregor and T. Kourti, “Multivariate statistical treatment of historical data for productivity and quality improvements,” AIChE Symp. Ser., vol. 94, no. 320, pp. 31-41, 1998.
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AIChE Symp. Ser.
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MacGregor, J.F.1
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15
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0011238380
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Application of dynamic PLS towaste treatment process analysis
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section 224e, Miami Beach, FL, Nov.
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C.E. Schlags and A.S. Anani, “Application of dynamic PLS towaste treatment process analysis,” AIChE Meeting, section 224e, Miami Beach, FL, Nov. 1998.
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(1998)
AIChE Meeting
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Schlags, C.E.1
Anani, A.S.2
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16
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0002395393
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On-line applications of multivariate statistics at Dofasco
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Helsinki, Finland
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M. Dudzic, V. Vaculik, and I. Miletic, “On-line applications of multivariate statistics at Dofasco,” in Proc. Int. Fed. Automat. Contr. Workshop on Future Trends in Automation in Mineral and Metal Processing, Helsinki, Finland, 2000, pp. 438-443.
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in Proc. Int. Fed. Automat. Contr. Workshop on Future Trends in Automation in Mineral and Metal Processing
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Dudzic, M.1
Vaculik, V.2
Miletic, I.3
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17
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0026853039
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Process data chemometrics
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M.J. Piovoso, K.A. Kosanovich, and J.P. Yuk, “Process data chemometrics,” IEEE Trans. Instrument. Measure., vol. 41, pp. 262-268, 1992.
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IEEE Trans. Instrument. Measure.
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Piovoso, M.J.1
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19
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0011219055
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Les techniques multivariables au service du controle des procedes
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Vecteur Environnement
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Bendwell, N.1
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20
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Multivariate modeling for a multigrade application
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June 3-5, Stockholm, Sweden.
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I. Ivanov, S. Wold, and N. Kettaneh-Wold, “Multivariate modeling for a multigrade application,” presented at Control Systems, June 3-5, 2002, Stockholm, Sweden.
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presented at Control Systems
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Ivanov, I.1
Wold, S.2
Kettaneh-Wold, N.3
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21
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0026108818
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Multivariate statistical monitoring of process operating performance
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J. Kresta, J.F. MacGregor, and T.E. Marlin, “Multivariate statistical monitoring of process operating performance,” Can. J. Chem. Eng., vol. 69, pp. 35-47, 1991.
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Can. J. Chem. Eng.
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Kresta, J.1
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22
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0002816744
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Multivariate identification: A study of several methods
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K. Najim and J.P. Babary, Eds., Toulouse, France
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J.F. MacGregor, T. Kourti, and J.V. Kresta, “Multivariate identification: A study of several methods,” in Proc. IFAC Int. Symp. Adv. Contr. Chem. Processes, K. Najim and J.P. Babary, Eds., Toulouse, France, 1991, pp. 369-375.
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in Proc. IFAC Int. Symp. Adv. Contr. Chem. Processes
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MacGregor, J.F.1
Kourti, T.2
Kresta, J.V.3
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23
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0028367289
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Application of feedforward neural networks and partial least squares regression for modeling Kappa number in a continuous Kamyr digester
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B. Dayal, J.F. MacGregor, P.A. Taylor, R. Kildaw, and S. Marcikic, “Application of feedforward neural networks and partial least squares regression for modeling Kappa number in a continuous Kamyr digester,” Pulp and Paper Canada, vol. 95, no. 1, pp. 26-32, 1994.
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(1994)
Pulp and Paper Canada
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Dayal, B.1
MacGregor, J.F.2
Taylor, P.A.3
Kildaw, R.4
Marcikic, S.5
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24
-
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0031168001
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Recursive exponentially weighted PLS and its applications to adaptive control and prediction
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B.S. Dayal and J.F. MacGregor, “Recursive exponentially weighted PLS and its applications to adaptive control and prediction,” J. Proc. Contr., vol. 7, no. 3, pp. 169-179, 1997.
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(1997)
J. Proc. Contr.
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Dayal, B.S.1
MacGregor, J.F.2
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25
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0011248591
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Methodology for robust and sensitive fault detection
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M. Meyyapan, D.J. Economou, and S.W. Butler, Eds., The Electrochem. Soc.
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D. White, G.G. Barna, S.W. Butler, B. Wise,and N. Gallagher, “Methodology for robust and sensitive fault detection,” in Proc. Second Int. Symp. Process Contr., Diagnostics and Modeling Semicond. Manufact., M. Meyyapan, D.J. Economou, and S.W. Butler, Eds., The Electrochem. Soc., vol. 97, no. 9, 1997, pp. 55-63.
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in Proc. Second Int. Symp. Process Contr., Diagnostics and Modeling Semicond. Manufact.
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White, D.1
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Butler, S.W.3
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Gallagher, N.5
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26
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0034301495
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Recursive PCA for adaptive process monitoring
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W. Li, H.H. Yue, S. Valle-Cervantes, and S.J. Qin, “Recursive PCA for adaptive process monitoring,” J. Process Contr., vol. 10, pp. 471-486, 2000.
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J. Process Contr.
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Li, W.1
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27
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0029252734
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Multivariate SPC charts for monitoring batch processes
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P. Nomikos and J.F. MacGregor, “Multivariate SPC charts for monitoring batch processes,” Technometrics, vol. 37, no. 1, pp. 41-59, 1995.
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Technometrics
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Nomikos, P.1
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28
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0029357005
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Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS
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T. Kourti, P. Nomikos, and J.F. MacGregor, “Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS,” J. Process Contr., vol. 5, pp. 277-284, 1995.
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J. Process Contr.
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Kourti, T.1
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29
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0028483476
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Monitoring of batch processes using multi-way principal component analysis
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P. Nomikos and J.F. MacGregor, “Monitoring of batch processes using multi-way principal component analysis,” AIChE J., vol. 40, no. 8, pp. 1361-1375, 1994.
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AIChE J.
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Multivariate statistical analysis of an emulsion batch process
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D. Neogi and C.E. Schlags, “Multivariate statistical analysis of an emulsion batch process,” Ind. Eng. Chem. Res., vol. 37, pp. 3971-3979, 1998.
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31
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Multi-way PCA applied to an industrialbatch process
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K.A. Kosanovich (Hoo), M.J. Piovoso, and K.S. Dahl, “Multi-way PCA applied to an industrialbatch process,” Ind. Chem. Res., vol. 35, pp. 138-146, 1995.
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Ind. Chem. Res.
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32
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0033559909
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Translating third order data analysis methods to chemical batch processes
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K.S. Dahl, M.J. Piovoso, and K.A. Kosanovich, “Translating third order data analysis methods to chemical batch processes,” Chemometr. Intell. Lab. Syst., vol. 46, pp. 161-180, 1999.
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Chemometr. Intell. Lab. Syst.
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Dahl, K.S.1
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33
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0000609488
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Comparing alternative approaches for multivariate statistical analysis of batch process data
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J.A.Westerhuis, T. Kourti, and J.F. MacGregor, “Comparing alternative approaches for multivariate statistical analysis of batch process data,” J. Chemometr., vol. 13, pp. 397-413, 1999.
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J. Chemometr.
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Westerhuis, J.A.1
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34
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0035965677
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A comparison of multiway regression and scaling methods
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S.P. Gurden, J.A. Westerhuis, R. Bro, and A.K. Smilde, “A comparison of multiway regression and scaling methods,” Chemometr. Intell. Lab. Syst., vol. 59, no.1-2, pp. 121-136, 2001.
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Chemometr. Intell. Lab. Syst.
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Gurden, S.P.1
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Bro, R.3
Smilde, A.K.4
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35
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0032045464
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Synchronization of batch trajectories using dynamic time warping
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A. Kassidas, J.F. MacGregor, and P.A. Taylor, “Synchronization of batch trajectories using dynamic time warping,” AIChE J., vol. 44, pp. 864-875, 1998.
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AIChE J.
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Kassidas, A.1
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Taylor, P.A.3
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36
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0011256664
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On-line synchronization of the trajectories of process variables for monitoring batch processes with varying duration
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Porsgrunn, Norway, Aug. 15-10
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J.A. Westerhuis, A. Kassidas, T. Kourti, P.A. Taylor, and J.F. MacGregor, “On-line synchronization of the trajectories of process variables for monitoring batch processes with varying duration,” presented at the 6th Scandinavian Symp. Chemometrics, Porsgrunn, Norway, Aug. 15-10, 1999.
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(1999)
presented at the 6th Scandinavian Symp. Chemometrics
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Westerhuis, J.A.1
Kassidas, A.2
Kourti, T.3
Taylor, P.A.4
MacGregor, J.F.5
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37
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85008019514
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On-line batch fermentation process monitoring-Prediction of biological time
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Copenhagen, Denmark, Aug. 19-23
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P. Jorgensen, J.G. Pedersen, E.P. Jensen, and K. Esbensen, “On-line batch fermentation process monitoring-Prediction of biological time,” presented at the 7th Scandinavian Symp. Chemometrics, Copenhagen, Denmark, Aug. 19-23, 2001.
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presented at the 7th Scandinavian Symp. Chemometrics
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Jorgensen, P.1
Pedersen, J.G.2
Jensen, E.P.3
Esbensen, K.4
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38
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0035919874
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Process monitoring of an industrial fed-batch fermentation
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B. Lennox, G.A. Montague, H.G. Hiden, G. Kornfeld, and P.R. Goulding, “Process monitoring of an industrial fed-batch fermentation,” Biotechnol. Bioeng., vol. 74, no. 2, pp. 125-135, 2001.
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Biotechnol. Bioeng.
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39
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0000080198
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Improved process understanding using multiway principal component analysis
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K.A. Kosanovic, K.S. Dahl, and M.J. Piovoso, “Improved process understanding using multiway principal component analysis,” Ind. Eng. Chem. Res., vol. 35, p. 138, 1996.
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Ind. Eng. Chem. Res.
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Kosanovic, K.A.1
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Piovoso, M.J.3
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40
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0034621629
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Multivariate analysis and optimization of process variable trajectories for batch processes
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C. Duchesne and J.F. MacGregor, “Multivariate analysis and optimization of process variable trajectories for batch processes,” Chemometr. Intell. Lab. Syst., vol. 51, pp. 125-137, 2000.
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Chemometr. Intell. Lab. Syst.
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Duchesne, C.1
MacGregor, J.F.2
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41
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0037012358
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Control of particle size distributions in emulsion semi-batch polymerization using mid-course correction policies
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J. Flores-Cerrillo and J.F. MacGregor, “Control of particle size distributions in emulsion semi-batch polymerization using mid-course correction policies,” Indust. Eng. Chem. Res., vol. 41, pp. 1805-1814, 2002.
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Indust. Eng. Chem. Res.
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Flores-Cerrillo, J.1
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42
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0000736392
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Analysis of multiblock and hierarchical PCAand PLS models
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J. Westerhuis, T. Kourti, and J.F. MacGregor, “Analysis of multiblock and hierarchical PCAand PLS models,” J. Chemometr., vol. 12, pp. 301-321, 1998.
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(1998)
J. Chemometr.
, vol.12
, pp. 301-321
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Westerhuis, J.1
Kourti, T.2
MacGregor, J.F.3
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43
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0001282938
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On unifying multiblock analysis with application to decentralized process monitoring
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J.S. Qin, S. Valle, and M.J. Piovoso, “On unifying multiblock analysis with application to decentralized process monitoring,” J. Chemometr., vol. 15, pp. 715-742, 2001.
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J. Chemometr.
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Qin, J.S.1
Valle, S.2
Piovoso, M.J.3
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45
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0004257339
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U.K.: Wiley
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P. Geladi and H. Grahn, Multivariate Image Analysis. Chichester, U.K.: Wiley, 1996.
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(1996)
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Geladi, P.1
Grahn, H.2
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46
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0032463504
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Multivariate image analysis for real time process monitoring and control
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M.H. Bharati and J.F. MacGregor, “Multivariate image analysis for real time process monitoring and control,” Ind. Eng. Chem. Res., vol. 37, pp. 4715-4724, 1998.
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(1998)
Ind. Eng. Chem. Res.
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, pp. 4715-4724
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Bharati, M.H.1
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48
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0030794249
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Multivariate statistical process control in chromatography
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A. Nijhuis, S. de Jong, and B.G.M. Vandeginste, “Multivariate statistical process control in chromatography,” Chemometr. Intell. Lab. Syst., vol. 38, pp. 51-62, 1997.
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Chemometr. Intell. Lab. Syst.
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Nijhuis, A.1
de Jong, S.2
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49
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0034996796
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The GIFI approach to Nonlinear PLS modeling
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A. Berglund, N. Kettaneh-Wold, L.L. Uppgard, S. Wold, N. Bendwell, D.R. Cameron, “The GIFI approach to Nonlinear PLS modeling,” J. Chemometr., vol. 15, pp. 321-336, 2001.
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J. Chemometr.
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Berglund, A.1
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Uppgard, L.L.3
Wold, S.4
Bendwell, N.5
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50
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0242582406
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Incorporation of external information into multivariate PCA/PLS models
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June 7-8, Chejudo, Korea.
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S. Yoon and J. MacGregor, “Incorporation of external information into multivariate PCA/PLS models,” presented at the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries, June 7-8, 2001, Chejudo, Korea.
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(2001)
presented at the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries
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Yoon, S.1
MacGregor, J.2
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51
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0011188773
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Multivariate quality monitoring
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Veldhoven, The Netherlands, May 24-28
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S. Rännar and C. Wikström, “Multivariate quality monitoring,” presented at the 2nd Int. Chemometrics Research Meeting, Veldhoven, The Netherlands, May 24-28, 1998.
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(1998)
presented at the 2nd Int. Chemometrics Research Meeting
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Rännar, S.1
Wikström, C.2
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52
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0011180057
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Improvement of process and product quality through multivariate data analysis
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