메뉴 건너뛰기




Volumn 46, Issue 24, 2007, Pages 8033-8043

Batch process monitoring in score space of two-dimensional dynamic Principal Component Analysis (PCA)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; FAULT DETECTION; MULTIVARIABLE CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 36749028738     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie070579a     Document Type: Article
Times cited : (39)

References (27)
  • 1
    • 0032517828 scopus 로고    scopus 로고
    • Modeling and diagnosis of batch processes and analogous kinetic experiments
    • Wold, S.; Kettaneh, N.; Friden, H.; Holmberg, A. Modeling and diagnosis of batch processes and analogous kinetic experiments. Chemom. Intell. Lab. Syst. 1998, 44, 331-340.
    • (1998) Chemom. Intell. Lab. Syst , vol.44 , pp. 331-340
    • Wold, S.1    Kettaneh, N.2    Friden, H.3    Holmberg, A.4
  • 2
    • 0036755935 scopus 로고    scopus 로고
    • Critical evaluation of approaches for on-line batch process monitoring
    • Sprange, E. N. M.; Ramaker, H. J.; Westerhuis, J.; Smilde, A. Critical evaluation of approaches for on-line batch process monitoring. Chem. Eng. Sci. 2002, 57, 3979-3991.
    • (2002) Chem. Eng. Sci , vol.57 , pp. 3979-3991
    • Sprange, E.N.M.1    Ramaker, H.J.2    Westerhuis, J.3    Smilde, A.4
  • 3
    • 0036805179 scopus 로고    scopus 로고
    • Statistical monitoring of multistage, multiphase batch processes
    • Ündey, C.; Cinar, A. Statistical monitoring of multistage, multiphase batch processes. IEEE Control Syst. Mag. 2002, 22, 40-52.
    • (2002) IEEE Control Syst. Mag , vol.22 , pp. 40-52
    • Ündey, C.1    Cinar, A.2
  • 4
    • 0037282647 scopus 로고    scopus 로고
    • Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions
    • Kourti, T. Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions. J. Chemom. 2003, 17, 93-109.
    • (2003) J. Chemom , vol.17 , pp. 93-109
    • Kourti, T.1
  • 5
    • 0028483476 scopus 로고
    • Monitoring of batch processes using multiway principal component analysis
    • Nomikos, P.; MacGregor, J. F. Monitoring of batch processes using multiway principal component analysis. AIChE J. 1994, 40, 1361 -1375.
    • (1994) AIChE J , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 6
    • 0028825273 scopus 로고
    • Multiway partial least squares in monitoring batch processes
    • Nomikos, P.; MacGregor, J. F. Multiway partial least squares in monitoring batch processes. Chemom. Intell. Lab. Syst. 1995, 30, 97-108.
    • (1995) Chemom. Intell. Lab. Syst , vol.30 , pp. 97-108
    • Nomikos, P.1    MacGregor, J.F.2
  • 7
    • 0001369487 scopus 로고    scopus 로고
    • Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection
    • Wold, S.; Kettaneh, N.; Tjessem, K. Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection. J. Chemom. 1996, 10, 463-482.
    • (1996) J. Chemom , vol.10 , pp. 463-482
    • Wold, S.1    Kettaneh, N.2    Tjessem, K.3
  • 9
    • 1042268071 scopus 로고    scopus 로고
    • Sub PCA modeling and monitoring strategy for batch processes
    • Lu, N.; Gao, F.; Wang, F. Sub PCA modeling and monitoring strategy for batch processes. AIChE J. 2004, 50, 255-259.
    • (2004) AIChE J , vol.50 , pp. 255-259
    • Lu, N.1    Gao, F.2    Wang, F.3
  • 10
    • 2542606059 scopus 로고    scopus 로고
    • Monitoring of batch processes through state-space models
    • Lee, J. H.; Dorsey, A. W. Monitoring of batch processes through state-space models. AIChE J. 2004, 50, 1198-1210.
    • (2004) AIChE J , vol.50 , pp. 1198-1210
    • Lee, J.H.1    Dorsey, A.W.2
  • 11
    • 2542642276 scopus 로고    scopus 로고
    • Multivariate monitoring of batch processes using batch-to-batch information
    • Flores-Cerrillo, J.; MacGregor, J. F. Multivariate monitoring of batch processes using batch-to-batch information. AIChEJ. 2004, 50, 1219-1228.
    • (2004) AIChEJ , vol.50 , pp. 1219-1228
    • Flores-Cerrillo, J.1    MacGregor, J.F.2
  • 12
    • 30544445406 scopus 로고    scopus 로고
    • Two-dimensional dynamic PCA for batch process monitoring
    • Lu, N.; Yao, Y.; Gao, F. Two-dimensional dynamic PCA for batch process monitoring. AIChE J. 2005, 51, 3300-3304.
    • (2005) AIChE J , vol.51 , pp. 3300-3304
    • Lu, N.1    Yao, Y.2    Gao, F.3
  • 13
    • 85014134218 scopus 로고    scopus 로고
    • Yao, Y.; Lu, N.; Gao, F. Two-Dimensional Dynamic PCA with Auto-Selected Support Region. In DYCOPS 2007: Proceedings of the 8th International IFAC Symposium on Dynamics and Control of Process Systems, Cancún, Mexico, June 6-8, 2007; International Federation of Automated Control: Preprints, 1, pp 69-74.
    • Yao, Y.; Lu, N.; Gao, F. Two-Dimensional Dynamic PCA with Auto-Selected Support Region. In DYCOPS 2007: Proceedings of the 8th International IFAC Symposium on Dynamics and Control of Process Systems, Cancún, Mexico, June 6-8, 2007; International Federation of Automated Control: Preprints, Vol. 1, pp 69-74.
  • 15
    • 0032563617 scopus 로고    scopus 로고
    • Wikström, C.; Albano, C.; Eriksson, L.; Friden, H.; Johansson, E.; Nordahl, A.; Rannar, S.; Sandberg, M.; Kettaneh-Wold, N.; Wold, S.Multivariate process and quality monitoring applied to an electrolysis process. Part I. Process supervision with multivariate control charts. Chemom. Intell. Lab. Syst. 1998, 42, 221-231.
    • Wikström, C.; Albano, C.; Eriksson, L.; Friden, H.; Johansson, E.; Nordahl, A.; Rannar, S.; Sandberg, M.; Kettaneh-Wold, N.; Wold, S.Multivariate process and quality monitoring applied to an electrolysis process. Part I. Process supervision with multivariate control charts. Chemom. Intell. Lab. Syst. 1998, 42, 221-231.
  • 17
    • 17144455756 scopus 로고    scopus 로고
    • Multivariate control charts for grade control using principal-component analysis and time-series modeling
    • Samanta, B. Multivariate control charts for grade control using principal-component analysis and time-series modeling. Trans. Inst. Min. Metall, Sect. A 2002, 111, 149-157.
    • (2002) Trans. Inst. Min. Metall, Sect. A , vol.111 , pp. 149-157
    • Samanta, B.1
  • 18
    • 0028892168 scopus 로고
    • Disturbance detection and isolation by dynamic principal component analysis
    • Ku, W.; Storer, R. H.; Georgakis, C. Disturbance detection and isolation by dynamic principal component analysis. Chemom. Intell. Lab. Syst. 1995, 30, 179-196.
    • (1995) Chemom. Intell. Lab. Syst , vol.30 , pp. 179-196
    • Ku, W.1    Storer, R.H.2    Georgakis, C.3
  • 19
    • 3242705894 scopus 로고    scopus 로고
    • Improved principal component monitoring of large-scale processes
    • Kruger, U.; Zhou, Y.; Irwin, G. W. Improved principal component monitoring of large-scale processes. J. Process Control 2004, 14, 879-888.
    • (2004) J. Process Control , vol.14 , pp. 879-888
    • Kruger, U.1    Zhou, Y.2    Irwin, G.W.3
  • 20
    • 33750703193 scopus 로고    scopus 로고
    • Investigation of dynamic multivariate chemical process monitoring
    • Xie, L.; Zhang, J.; Wang, S. Investigation of dynamic multivariate chemical process monitoring. Chin. J. Chem. Eng. 2006, 14, 559-568.
    • (2006) Chin. J. Chem. Eng , vol.14 , pp. 559-568
    • Xie, L.1    Zhang, J.2    Wang, S.3
  • 21
    • 0031169881 scopus 로고    scopus 로고
    • An identification method for a twodimensional nonminimum phase ARMA system using a phase-equivalent MA system
    • Miyazaki, N.; Hamada, N. An identification method for a twodimensional nonminimum phase ARMA system using a phase-equivalent MA system. Electron. Commun. Jpn., Part 3 1997, 80, 1454-1463.
    • (1997) Electron. Commun. Jpn., Part , vol.3 , Issue.80 , pp. 1454-1463
    • Miyazaki, N.1    Hamada, N.2
  • 22
    • 0032657202 scopus 로고    scopus 로고
    • Two-dimensional autoregressive (2-DAR) model order estimation
    • Aksasse, B.; Radouane, L. Two-dimensional autoregressive (2-DAR) model order estimation. IEEE Trans. Signal Process. 1999, 47, 2072-2077.
    • (1999) IEEE Trans. Signal Process , vol.47 , pp. 2072-2077
    • Aksasse, B.1    Radouane, L.2
  • 23
    • 0038487893 scopus 로고    scopus 로고
    • Performance of robust RA estimator for bidimensional autoregressive models
    • Ojeda, S.; Vallejos, R.; Lucini, M. Performance of robust RA estimator for bidimensional autoregressive models. J. Stat. Comput. Simul. 2002, 72, 47-62.
    • (2002) J. Stat. Comput. Simul , vol.72 , pp. 47-62
    • Ojeda, S.1    Vallejos, R.2    Lucini, M.3
  • 25
    • 0035965455 scopus 로고    scopus 로고
    • Comparison of selection methods of explanatory variables in PLS regression with application to manufacturing process data
    • Gauchi, J.; Chagnon, P. Comparison of selection methods of explanatory variables in PLS regression with application to manufacturing process data. Chemom. Intell. Lab. Syst. 2001, 58, 179-193.
    • (2001) Chemom. Intell. Lab. Syst , vol.58 , pp. 179-193
    • Gauchi, J.1    Chagnon, P.2
  • 26
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. A new look at the statistical model identification. IEEE Trans. Autom. Control 1974, 19, 716-723.
    • (1974) IEEE Trans. Autom. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 27
    • 0034621628 scopus 로고    scopus 로고
    • Generalized contribution plots in multivariate statistical process monitoring
    • Westerhuis, J. A.; Gurden, S. P.; Smilde, A. K. Generalized contribution plots in multivariate statistical process monitoring. Chemom. Intell. Lab. Syst. 2000, 51, 95-114.
    • (2000) Chemom. Intell. Lab. Syst , vol.51 , pp. 95-114
    • Westerhuis, J.A.1    Gurden, S.P.2    Smilde, A.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.