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Volumn 21, Issue 4, 2011, Pages 627-638

A method for multiphase batch process monitoring based on auto phase identification

Author keywords

Penicillin fermentation; PenSim; Principal Component Analysis

Indexed keywords

BATCH PROCESS; BATCH PROCESS MONITORING; CORRELATION STRUCTURE; CULTIVATION PROCESS; FED BATCHES; FIXED NUMBERS; IN-PROCESS; MODELING STRATEGY; PCA MODEL; PENICILLIN FERMENTATION; PENSIM; PHASE CHARACTERISTIC; PHASE IDENTIFICATION; PRINCIPAL COMPONENTS; PROCESS DYNAMICS;

EID: 79953818960     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2010.12.003     Document Type: Article
Times cited : (52)

References (38)
  • 2
    • 0028905904 scopus 로고
    • Process analysis, monitoring and diagnosis, using multivariate projection methods
    • T. Kourti, and J.F. MacGregor Process analysis, monitoring and diagnosis, using multivariate projection methods Chemometrics and Intelligent Laboratory Systems 28 1995 3 21
    • (1995) Chemometrics and Intelligent Laboratory Systems , vol.28 , pp. 3-21
    • Kourti, T.1    MacGregor, J.F.2
  • 5
    • 33646178973 scopus 로고    scopus 로고
    • Performance monitoring of processes with multiple operating modes through multiple PLS models
    • S.J. Zhao, J. Zhang, and Y.M. Xu Performance monitoring of processes with multiple operating modes through multiple PLS models Journal of Process Control 16 2006 763 772
    • (2006) Journal of Process Control , vol.16 , pp. 763-772
    • Zhao, S.J.1    Zhang, J.2    Xu, Y.M.3
  • 8
    • 2542642276 scopus 로고    scopus 로고
    • Multivariate monitoring of batch processes using batch-to-batch information
    • DOI 10.1002/aic.10147
    • J. Flores-Cerrillo, and J.F. MacGregor Multivariate monitoring of batch processes using batch-to-batch information AIChE Journal 50 2004 1219 1228 (Pubitemid 38703062)
    • (2004) AIChE Journal , vol.50 , Issue.6 , pp. 1219-1228
    • Flores-Cerrillo, J.1    MacGregor, J.F.2
  • 9
    • 30544445406 scopus 로고    scopus 로고
    • Two-dimensional dynamic PCA for batch process monitoring
    • DOI 10.1002/aic.10568
    • N. Lu, Y. Yao, F.R. Gao, and F.L. Wang Two-dimensional dynamic PCA for batch process monitoring AIChE Journal 51 2005 3300 3304 (Pubitemid 43082203)
    • (2005) AIChE Journal , vol.51 , Issue.12 , pp. 3300-3304
    • Lu, N.1    Yao, Y.2    Gao, F.3    Wang, F.4
  • 10
    • 44749086556 scopus 로고    scopus 로고
    • Subspace identification for two-dimensional dynamic batch process statistical monitoring
    • Y. Yao, and F.R. Gao Subspace identification for two-dimensional dynamic batch process statistical monitoring Chemical Engineering Science 63 2008 3411 3418
    • (2008) Chemical Engineering Science , vol.63 , pp. 3411-3418
    • Yao, Y.1    Gao, F.R.2
  • 13
    • 0036805179 scopus 로고    scopus 로고
    • Statistical monitoring of multistage, multiphase batch processes
    • C. Ündey, and A. inar Statistical monitoring of multistage, multiphase batch processes IEEE Control Systems Magazine 22 2002 42 52
    • (2002) IEEE Control Systems Magazine , vol.22 , pp. 42-52
    • Ündey, C.1    Inar, A.2
  • 14
    • 1042268071 scopus 로고    scopus 로고
    • Sub-PCA Modeling and on-line Monitoring Strategy for Batch Processes
    • DOI 10.1002/aic.10024
    • N. Lu, F. Gao, and F. Wang Sub-PCA modeling and on-line monitoring strategy for batch processes AIChE Journal 50 2004 255 259 (Pubitemid 38197428)
    • (2004) AIChE Journal , vol.50 , Issue.1 , pp. 255-259
    • Lu, N.1    Gao, F.2    Wang, F.3
  • 15
    • 33645311553 scopus 로고    scopus 로고
    • Multi-phase principal component analysis for batch processes modeling
    • J. Camacho, and J. Picó Multi-phase principal component analysis for batch processes modeling Chemometrics and Intelligent Laboratory Systems 81 2006 127 136
    • (2006) Chemometrics and Intelligent Laboratory Systems , vol.81 , pp. 127-136
    • Camacho, J.1    Picó, J.2
  • 16
    • 33750361533 scopus 로고    scopus 로고
    • Online monitoring of batch processes using multi-phase principal component analysis
    • DOI 10.1016/j.jprocont.2006.07.005, PII S0959152406000825
    • J. Camacho, and J. Picó Online monitoring of batch processes using multi-phase principal component analysis Journal of Process Control 16 2006 1021 1035 (Pubitemid 44635213)
    • (2006) Journal of Process Control , vol.16 , Issue.10 , pp. 1021-1035
    • Camacho, J.1    Pico, J.2
  • 17
    • 57149098240 scopus 로고    scopus 로고
    • Multi-phase analysis framework for handling batch process data
    • J. Camacho, J. Picó, and A. Ferrer Multi-phase analysis framework for handling batch process data Journal of Chemometrics 10 2008 632 643
    • (2008) Journal of Chemometrics , vol.10 , pp. 632-643
    • Camacho, J.1    Picó, J.2    Ferrer, A.3
  • 18
    • 35648993555 scopus 로고    scopus 로고
    • Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control
    • DOI 10.1016/j.compchemeng.2007.05.010, PII S009813540700141X, Process Systems Engineering: Contributions on the State-of-the-Art Selected extended Papers from ESCAPE '16/PSE 2006.
    • X.T. Doan, and R. Srinivasan Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control Computers and Chemical Engineering 32 2008 230 243 (Pubitemid 350019491)
    • (2008) Computers and Chemical Engineering , vol.32 , Issue.1-2 , pp. 230-243
    • Doan, X.-T.1    Srinivasan, R.2
  • 19
    • 64849096132 scopus 로고    scopus 로고
    • Phase and transition based batch process modeling and online monitoring
    • Y. Yao, and F.R. Gao Phase and transition based batch process modeling and online monitoring Journal of Process Control 19 2009 816 826
    • (2009) Journal of Process Control , vol.19 , pp. 816-826
    • Yao, Y.1    Gao, F.R.2
  • 20
    • 70449094646 scopus 로고    scopus 로고
    • A survey on multistage/multiphase statistical modeling methods for batch processes
    • Y. Yao, and F.R. Gao A survey on multistage/multiphase statistical modeling methods for batch processes Annual Review in Control 33 2009 172 183
    • (2009) Annual Review in Control , vol.33 , pp. 172-183
    • Yao, Y.1    Gao, F.R.2
  • 21
    • 11144325691 scopus 로고
    • Partial least-squares regression: A tutorial
    • P. Geladi, and B.R. Kowalski Partial least-squares regression: a tutorial Analytica Chimica Acta 185 1986 1 17
    • (1986) Analytica Chimica Acta , vol.185 , pp. 1-17
    • Geladi, P.1    Kowalski, B.R.2
  • 22
    • 84951601886 scopus 로고
    • Cross-validatory estimation of the number of components in factor and principal components model
    • S. Wold Cross-validatory estimation of the number of components in factor and principal components model Technometrics 20 1978 397 405
    • (1978) Technometrics , vol.20 , pp. 397-405
    • Wold, S.1
  • 23
    • 0033903077 scopus 로고    scopus 로고
    • Determining the number of principal components for best reconstruction
    • DOI 10.1016/S0959-1524(99)00043-8
    • S.J. Qin, and R. Dunia Determining the number of principal components for best reconstruction Journal of Process Control 10 2000 245 250 (Pubitemid 30556723)
    • (2000) Journal of Process Control , vol.10 , Issue.2 , pp. 245-250
    • Qin, S.J.1    Dunia, R.2
  • 25
    • 0037282647 scopus 로고    scopus 로고
    • Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions
    • T. Kourti Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions Journal of Chemometrics 17 2003 93 109
    • (2003) Journal of Chemometrics , vol.17 , pp. 93-109
    • Kourti, T.1
  • 26
    • 0029703047 scopus 로고    scopus 로고
    • Experiences with industrial applications of projection methods for multivariate statistical process control
    • T. Kourti, J. Lee, and J.F. MacGregor Experiences with industrial applications of projection methods for multivariate statistical process control Computers and Chemical Engineering 20 1996 745 750
    • (1996) Computers and Chemical Engineering , vol.20 , pp. 745-750
    • Kourti, T.1    Lee, J.2    MacGregor, J.F.3
  • 27
    • 84945553805 scopus 로고    scopus 로고
    • Monitoring of batch pharmaceutical fermentations: Data synchronization, landmark alignment, and real-time monitoring
    • Barcelona, Spain
    • C. Ündey, B. Williams, and A. Cinar Monitoring of batch pharmaceutical fermentations: data synchronization, landmark alignment, and real-time monitoring 15th IFAC World Congress on Automatic Control Barcelona, Spain 2002
    • (2002) 15th IFAC World Congress on Automatic Control
    • Ündey, C.1    Williams, B.2    Cinar, A.3
  • 29
    • 0032045464 scopus 로고    scopus 로고
    • Synchronization of Batch Trajectories Using Dynamic Time Warping
    • A. Kassidas, J.F. MacGregor, and P.A. Taylor Synchronization of batch trajectories using dynamic time warping AIChE Journal 44 1998 864 875 (Pubitemid 128482525)
    • (1998) AIChE Journal , vol.44 , Issue.4 , pp. 864-875
    • Kassidas, A.1    MacGregor, J.F.2    Taylor, P.A.3
  • 30
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal components analysis
    • P. Nomikos, and J.F. MacGregor Monitoring batch processes using multiway principal components analysis AIChE Journal 40 1994 1361 1375
    • (1994) AIChE Journal , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 31
    • 0032517828 scopus 로고    scopus 로고
    • Modelling and diagnostics of batch processes and analogous kinetic experiments
    • DOI 10.1016/S0169-7439(98)00162-2, PII S0169743998001622
    • S. Wold, N. Kettaneh, H. Friden, and A. Holmberg Modeling and diagnostics of batch processes and analogous kinetic experiments Chemometrics and Intelligent Laboratory Systems 44 1998 331 340 (Pubitemid 29016108)
    • (1998) Chemometrics and Intelligent Laboratory Systems , vol.44 , Issue.1-2 , pp. 331-340
    • Wold, S.1    Kettaneh, N.2    Friden, H.3    Holmberg, A.4
  • 32
    • 33750734428 scopus 로고    scopus 로고
    • Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment
    • DOI 10.1016/j.chemolab.2006.03.009, PII S0169743906001110
    • D. Aguado, A. Ferrer, A. Seco, and J. Ferrer Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment Chemometrics and Intelligent Laboratory Systems 84 2006 75 81 (Pubitemid 44708397)
    • (2006) Chemometrics and Intelligent Laboratory Systems , vol.84 , Issue.1-2 , pp. 75-81
    • Aguado, D.1    Ferrer, A.2    Seco, A.3    Ferrer, J.4
  • 34
    • 65449169571 scopus 로고    scopus 로고
    • The best approaches in the on-line monitoring of batch processes based on PCA: Does the modeling structure matter?
    • J. Camacho, J. Picó, and A. Ferrer The best approaches in the on-line monitoring of batch processes based on PCA: does the modeling structure matter? Analytica Chimica Acta 642 2009 59 68
    • (2009) Analytica Chimica Acta , vol.642 , pp. 59-68
    • Camacho, J.1    Picó, J.2    Ferrer, A.3
  • 35
    • 0035253422 scopus 로고    scopus 로고
    • Multivariate statistical monitoring of batch processes: An industrial case study of fermentation supervision
    • DOI 10.1016/S0167-7799(00)01528-6, PII S0167779900015286
    • S. Albert, and R.D. Kinley Multivariate statistical monitoring of batch processes: an industrial case study of fermentation supervision Trends in Biotechnology 19 2001 53 62 (Pubitemid 32112682)
    • (2001) Trends in Biotechnology , vol.19 , Issue.2 , pp. 53-62
    • Albert, S.1    Kinley, R.D.2
  • 36
    • 0037110983 scopus 로고    scopus 로고
    • A modular simulation package for fed-batch fermentation: Penicillin production
    • DOI 10.1016/S0098-1354(02)00127-8, PII S0098135402001278
    • G. Birol, C. Ündey, and A. Cinar A modular simulation package for fed-batch fermentation: penicillin production Computers and Chemical Engineering 26 2002 1553 1565 (Pubitemid 35192176)
    • (2002) Computers and Chemical Engineering , vol.26 , Issue.11 , pp. 1553-1565
    • Birol, G.1    Undey, C.2    Cinar, A.3
  • 38
    • 1642574301 scopus 로고    scopus 로고
    • Intelligent real-time performance monitoring and quality prediction for batch/fed-batch cultivations
    • DOI 10.1016/j.jbiotec.2003.10.004
    • C. Ündey, E. Tatara, and A. inar Intelligent real-time performance monitoring and quality prediction for batch/fed-batch cultivations Journal of Biotechnology 108 2004 61 77 (Pubitemid 38115141)
    • (2004) Journal of Biotechnology , vol.108 , Issue.1 , pp. 61-77
    • Undey, C.1    Tatara, E.2    Cinar, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.