메뉴 건너뛰기




Volumn 19, Issue 5, 1997, Pages 271-279

Multivariate statistical methods in bioprocess fault detection and performance forecasting

Author keywords

fault detection; fermentation; forecasting; partial least squares regression (PLS); Principal component analysis (PCA)

Indexed keywords

FEATURE EXTRACTION; FERMENTATION; LEAST SQUARES APPROXIMATIONS; MULTIVARIABLE CONTROL SYSTEMS; REGRESSION ANALYSIS;

EID: 0031316454     PISSN: 01423312     EISSN: None     Source Type: Journal    
DOI: 10.1177/014233129701900507     Document Type: Article
Times cited : (19)

References (37)
  • 1
    • 0001879651 scopus 로고
    • Development of real-time expert system applications for the on-line analysis of fermentation data
    • In: Ladisch, M. R. and Bose, A. (Eds) American Chemical Society
    • Alford, J.S., Fowler, G.L., Higgs, R.E., Clapp, D.L., and Huber, F.M. 1992. ‘Development of real-time expert system applications for the on-line analysis of fermentation data’, In: Ladisch, M. R. and Bose, A. (Eds). Harnessing Biotechnology for the 21st Century, American Chemical Society, 375-379.
    • (1992) Harnessing Biotechnology for the 21st Century , pp. 375-379
    • Alford, J.S.1    Fowler, G.L.2    Higgs, R.E.3    Clapp, D.L.4    Huber, F.M.5
  • 2
    • 0028546521 scopus 로고
    • Analysis of operating data for evaluation, diagnosis and control of batch operations
    • Bakshi, B.R., Locher, G., Stephanopoulos, G., and Stephanopoulos, G. 1994. ‘Analysis of operating data for evaluation, diagnosis and control of batch operations’, J Proc Cont, 4(4), 179-194.
    • (1994) J Proc Cont , vol.4 , Issue.4 , pp. 179-194
    • Bakshi, B.R.1    Locher, G.2    Stephanopoulos, G.3    Stephanopoulos, G.4
  • 4
    • 0001851042 scopus 로고
    • Starting investigational and production cultures’, Process
    • Calam, C.T. 1976. ‘Starting investigational and production cultures’, Process Biochem, 11(3), 7-12.
    • (1976) Biochem , vol.11 , Issue.3 , pp. 7-12
    • Calam, C.T.1
  • 5
    • 84937549955 scopus 로고
    • The scree test for the number of factors
    • Catell, R.D. 1966. ‘The scree test for the number of factors’, Multivariate Behavioural Reseearch, 1, 245-276.
    • (1966) Multivariate Behavioural Reseearch , vol.1 , pp. 245-276
    • Catell, R.D.1
  • 6
    • 0025418386 scopus 로고
    • Representation of process trends - Part I. A formal representation framework
    • Cheung, J.T.Y., and Stephanopoulos, G. 1990. ‘Representation of process trends - Part I. A formal representation framework’, Computers Chem Engng, 14(4/5), 495-510.
    • (1990) Computers Chem Engng , vol.14 , Issue.4-5 , pp. 495-510
    • Cheung, J.T.Y.1    Stephanopoulos, G.2
  • 7
    • 0043015539 scopus 로고    scopus 로고
    • Nonlinear principal component analysis-based on principal curves and neural networks
    • Dong, D., and McAvoy, T.J. 1996. ‘Nonlinear principal component analysis-based on principal curves and neural networks’, Computers Chem Engng, 20(1), 65-78.
    • (1996) Computers Chem Engng , vol.20 , Issue.1 , pp. 65-78
    • Dong, D.1    McAvoy, T.J.2
  • 8
    • 0020089191 scopus 로고
    • Cross-validatory choice of the number of components from principal component analysis
    • Eastment, H.T., and Krzanowski, W.J. 1987. ‘Cross-validatory choice of the number of components from principal component analysis’, Technometrics, 24, 73-77.
    • (1987) Technometrics , vol.24 , pp. 73-77
    • Eastment, H.T.1    Krzanowski, W.J.2
  • 9
    • 11144325691 scopus 로고
    • Partial least squares regression: A tutorial
    • Geladi, P., and Kowalski, B.R. 1986. ‘Partial least squares regression: A tutorial’, Analytica Chemica Acta, 185, 1-17.
    • (1986) Analytica Chemica Acta , vol.185 , pp. 1-17
    • Geladi, P.1    Kowalski, B.R.2
  • 10
    • 0041744441 scopus 로고
    • Autoassociative neural networks in bioprocess condition monitoring
    • Kyoto, Japan
    • Glassey, J., Ignova, M., Montague, G.A., and Morris, A.J. 1994. ‘Autoassociative neural networks in bioprocess condition monitoring’, ADCHEM'94, Kyoto, Japan, 447-451.
    • (1994) ADCHEM'94 , pp. 447-451
    • Glassey, J.1    Ignova, M.2    Montague, G.A.3    Morris, A.J.4
  • 11
    • 0028576704 scopus 로고
    • Determination of the number of principal components for disturbance detection and isolation
    • Himes, D.M., Storer, R.H., and Georgakis, C. 1994. ‘Determination of the number of principal components for disturbance detection and isolation’, ACC''94, 1279-1283.
    • (1994) ACC'94 , pp. 1279-1283
    • Himes, D.M.1    Storer, R.H.2    Georgakis, C.3
  • 12
    • 0002757104 scopus 로고
    • Inoculum development with particular reference to Aspergillus and Penicillium
    • In: Smith, J. E., Berry, D. R. and Christiansen, B. (Eds) Academic Press, London
    • Hockenhull, D.J. 1980. ‘Inoculum development with particular reference to Aspergillus and Penicillium’, In: Smith, J. E., Berry, D. R. and Christiansen, B. (Eds) Fungal Biotechnology. Academic Press, London, 1-24.
    • (1980) Fungal Biotechnology , pp. 1-24
    • Hockenhull, D.J.1
  • 14
    • 0018503842 scopus 로고
    • Control procedures for residuals associated with principal component analysis
    • Jackson, J.E., and Mudholkar, G.S. 1979. ‘Control procedures for residuals associated with principal component analysis’, Technometrics, 21(3), 341-349.
    • (1979) Technometrics , vol.21 , Issue.3 , pp. 341-349
    • Jackson, J.E.1    Mudholkar, G.S.2
  • 16
    • 0028342258 scopus 로고
    • Visualisation of multivariate processes using principal component analysis and nonlinear inverse modelling’, Decision Support
    • Jokinen, P.A. 1994. ‘Visualisation of multivariate processes using principal component analysis and nonlinear inverse modelling’, Decision Support Systems, 11, 53-65.
    • (1994) Systems , vol.11 , pp. 53-65
    • Jokinen, P.A.1
  • 17
    • 0026947350 scopus 로고
    • Real-time qualitative analysis of the temporal shapes of (bio)-process variables
    • Konstantinov, K.B., and Yoshida, T. 1992. ‘Real-time qualitative analysis of the temporal shapes of (bio)-process variables’, AIChE Journal, 38(11), 1703-1715.
    • (1992) AIChE Journal , vol.38 , Issue.11 , pp. 1703-1715
    • Konstantinov, K.B.1    Yoshida, T.2
  • 18
    • 0000080198 scopus 로고    scopus 로고
    • Improved process understanding using multiway principal component analysis
    • Kosanovich, K.A., Dahl, K.S., and Piovoso, M.J. 1996. ‘Improved process understanding using multiway principal component analysis’, Ind Eng Chem Res, 35, 138-146.
    • (1996) Ind Eng Chem Res , vol.35 , pp. 138-146
    • Kosanovich, K.A.1    Dahl, K.S.2    Piovoso, M.J.3
  • 19
    • 0028905904 scopus 로고
    • Process analysis, monitoring and diagnosis, using multivariate projection methods
    • Kourti, T., and MacGregor, J.F. 1995. ‘Process analysis, monitoring and diagnosis, using multivariate projection methods’, Chemometics and Intelligent Lab Syst, 28, 3-21.
    • (1995) Chemometics and Intelligent Lab Syst , vol.28 , pp. 3-21
    • Kourti, T.1    MacGregor, J.F.2
  • 20
    • 0029357005 scopus 로고
    • Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS
    • Kourti, T., Nomikos, P., and MacGregor, J.F. 1995. ‘Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS’, J Proc Cont, 5(4), 277-284.
    • (1995) J Proc Cont , vol.5 , Issue.4 , pp. 277-284
    • Kourti, T.1    Nomikos, P.2    MacGregor, J.F.3
  • 21
    • 84997993328 scopus 로고
    • Fault diagnosis and computer-aided diagnostic advisors
    • Intl conf on intelligent systems in process engineering, Snowmass, Colorado
    • Kramer, M.A., and Fjellheim, R. 1995. ‘Fault diagnosis and computer-aided diagnostic advisors’, Intl conf on intelligent systems in process engineering, Snowmass, Colorado.
    • (1995)
    • Kramer, M.A.1    Fjellheim, R.2
  • 24
    • 0026360536 scopus 로고
    • Composition estimator in a pilot-plant distillation column using multiple temperatures
    • Mejdell, T., and Skogestad, S. 1991. ‘Composition estimator in a pilot-plant distillation column using multiple temperatures’, Ind Eng Chem Res, 30, 2555-2564.
    • (1991) Ind Eng Chem Res , vol.30 , pp. 2555-2564
    • Mejdell, T.1    Skogestad, S.2
  • 25
    • 0028483476 scopus 로고
    • Monitoring of batch processes using multiway principal component analysis
    • Nomikos, P., and MacGregor, J.F. 1994. ‘Monitoring of batch processes using multiway principal component analysis’, AIChE Journal, 40, 1361-1375.
    • (1994) AIChE Journal , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 26
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Nomikos, P., and MacGregor, J.F. 1995. ‘Multivariate SPC charts for monitoring batch processes ‘, Technometrics, 37(1),41-59.
    • (1995) Technometrics , vol.37 , Issue.1 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 27
    • 0002656714 scopus 로고
    • Selection of optimal regression models via cross-validation
    • Osten, D.W. 1988. ‘Selection of optimal regression models via cross-validation’, Journal of Chemometrics, 2, 39-48.
    • (1988) Journal of Chemometrics , vol.2 , pp. 39-48
    • Osten, D.W.1
  • 28
    • 0009576776 scopus 로고
    • Strain preservation, inoculum preparation and inoculum development
    • In: McNeil, B., and Harvey, L. M. (Eds). IRL Press, Oxford
    • Parton, C., and Willis, P. 1990. ‘Strain preservation, inoculum preparation and inoculum development’, In: McNeil, B., and Harvey, L. M. (Eds). Fermentation, a Practical Approach. IRL Press, Oxford, 39-64.
    • (1990) Fermentation, a Practical Approach , pp. 39-64
    • Parton, C.1    Willis, P.2
  • 29
    • 84947841031 scopus 로고
    • Application of multivariate statistical methods to process monitoring and controller design
    • Piovoso, M.J., and Kosanovich, K.A. 1994. ‘Application of multivariate statistical methods to process monitoring and controller design’, Int J Control, 59(3), 743-765.
    • (1994) Int J Control , vol.59 , Issue.3 , pp. 743-765
    • Piovoso, M.J.1    Kosanovich, K.A.2
  • 33
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical prediction
    • Stone, M.J. 1974. ‘Cross-validatory choice and assessment of statistical prediction’, J R Statist Soc, B36, 111-147.
    • (1974) J R Statist Soc , vol.B36 , pp. 111-147
    • Stone, M.J.1
  • 34
    • 0002502022 scopus 로고
    • Qualitative interpretation of sensor patterns
    • April
    • Whiteley, J.R., and Davis, J.F. 1993. ‘Qualitative interpretation of sensor patterns ‘, IEEE Expert, April, 54-63.
    • (1993) IEEE Expert , pp. 54-63
    • Whiteley, J.R.1    Davis, J.F.2
  • 35
    • 84997865060 scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • IFAC Workshop on on-line fault detection and supervision in the chemical process industries, Newcastle upon Tyne, England, 1-20
    • Wise, B.M., Gallagher, N.B., and MacGregor, J.F. 1995. ‘The process chemometrics approach to process monitoring and fault detection’, IFAC Workshop on on-line fault detection and supervision in the chemical process industries, Newcastle upon Tyne, England, 1-20.
    • (1995)
    • Wise, B.M.1    Gallagher, N.B.2    MacGregor, J.F.3
  • 36
    • 84951601886 scopus 로고
    • Cross validatory estimation of the number of components in factor and principal components models
    • Wold, S. 1978. ‘Cross validatory estimation of the number of components in factor and principal components models’, Technometrics, 20, 397-405.
    • (1978) Technometrics , vol.20 , pp. 397-405
    • Wold, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.