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Volumn 47, Issue 24, 2008, Pages 9996-10008

Enhanced process comprehension and statistical analysis for slow-varying batch processes

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE METHODS; BATCH PROCESS; BATCH WISE; EVOLVING RULES; FEASIBLE SOLUTIONS; ICA-PCA; MODEL UPDATING; MONITORING PERFORMANCE; MONITORING SYSTEMS; PROCESS DISTURBANCES; PROCESS EVOLUTIONS; STATISTICAL ANALYSIS; STATISTICAL CHARACTERISTICS;

EID: 64549118988     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie800643d     Document Type: Article
Times cited : (26)

References (48)
  • 1
    • 0028483476 scopus 로고
    • Monitoring of batch processes using multi-way principal component analysis
    • Nomikos, P.; MacGregor, J. F. Monitoring of batch processes using multi-way principal component analysis. AIChE J. 1994, 40, 1361.
    • (1994) AIChE J , vol.40 , pp. 1361
    • Nomikos, P.1    MacGregor, J.F.2
  • 2
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • omikos, P.; MacGregor, J. F. Multivariate SPC charts for monitoring batch processes. Technometrics 1995, 37, 41.
    • (1995) Technometrics , vol.37 , pp. 41
    • omikos, P.1    MacGregor, J.F.2
  • 3
    • 0000080198 scopus 로고    scopus 로고
    • Improved process understanding using multiway principal component analysis
    • Kosanovich, K. A.; Dahl, K. S.; Piovoso, M. J. Improved process understanding using multiway principal component analysis. Ind. Eng. Chem. Res. 1996, 35, 138.
    • (1996) Ind. Eng. Chem. Res , vol.35 , pp. 138
    • Kosanovich, K.A.1    Dahl, K.S.2    Piovoso, M.J.3
  • 4
    • 0032517828 scopus 로고    scopus 로고
    • Modelling and diagnosis of batch processes and analogous kinetic experiments
    • Wold, S.; Kettaneh, N.; Friden, H.; Holmberg, A. Modelling and diagnosis of batch processes and analogous kinetic experiments. Chemom. Intell. Lab. Syst. 1998, 44, 331.
    • (1998) Chemom. Intell. Lab. Syst , vol.44 , pp. 331
    • Wold, S.1    Kettaneh, N.2    Friden, H.3    Holmberg, A.4
  • 6
    • 0034015053 scopus 로고    scopus 로고
    • Multivariate statistical process control of batch processes based on three-way models
    • Louwerse, D. J.; Smilde, A. K. Multivariate statistical process control of batch processes based on three-way models. Chem. Eng. Sci. 2000, 55, 1225.
    • (2000) Chem. Eng. Sci , vol.55 , pp. 1225
    • Louwerse, D.J.1    Smilde, A.K.2
  • 7
    • 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.
    • (2002) Chem. Eng. Sci , vol.57 , pp. 3979
    • Sprange, E.N.M.1    Ramaker, H.J.2    Westerhuis, J.3    Smilde, A.4
  • 8
    • 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.
    • (2003) J.Chemom , vol.17 , pp. 93
    • Kourti, T.1
  • 9
    • 33751201276 scopus 로고    scopus 로고
    • Real-time alignment of batch process data using COW for on-line process monitoring
    • Fransson, M.; Folestad, S. Real-time alignment of batch process data using COW for on-line process monitoring. Chemom. Intell. Lab. Syst. 2006, 84, 56.
    • (2006) Chemom. Intell. Lab. Syst , vol.84 , pp. 56
    • Fransson, M.1    Folestad, S.2
  • 10
    • 39449093995 scopus 로고    scopus 로고
    • Improved batch process monitoring and quality prediction based on multiphase statistical analysis
    • Zhao, C. H.; Wang, F. L.; Mao, Z. H.; Lu, N. Y.; Jia, M. X. Improved batch process monitoring and quality prediction based on multiphase statistical analysis. Ind. Eng. Chem. Res. 2008, 47, 835.
    • (2008) Ind. Eng. Chem. Res , vol.47 , pp. 835
    • Zhao, C.H.1    Wang, F.L.2    Mao, Z.H.3    Lu, N.Y.4    Jia, M.X.5
  • 11
    • 0000466122 scopus 로고    scopus 로고
    • Survey on independent component analysis
    • Hyvärinen, A. Survey on independent component analysis. Neural Comput. Surveys 1999, 2, 94.
    • (1999) Neural Comput. Surveys , vol.2 , pp. 94
    • Hyvärinen, A.1
  • 12
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • Hyvärinen, A.; Oja, E. Independent component analysis: Algorithms and applications. Neural Networks 2000, 13. 411.
    • (2000) Neural Networks , vol.13 , pp. 411
    • Hyvärinen, A.1    Oja, E.2
  • 13
    • 0035385132 scopus 로고    scopus 로고
    • A New Approach to Near-Infrared Spectral Data Analysis Using Independent Component Analysis
    • Chen, J.; Wang, X. Z. A New Approach to Near-Infrared Spectral Data Analysis Using Independent Component Analysis. J. Chem. Inf. Comput. Sci. 2001, 41, 992.
    • (2001) J. Chem. Inf. Comput. Sci , vol.41 , pp. 992
    • Chen, J.1    Wang, X.Z.2
  • 14
    • 4944253785 scopus 로고    scopus 로고
    • Statistical process control charts for batch operations based on independent component analysis
    • Albazzaz, H.; Wang, X. Z. Statistical process control charts for batch operations based on independent component analysis, J.Ind. Eng. Chem. RES. 2004, 43, 6731.
    • (2004) J.Ind. Eng. Chem. RES , vol.43 , pp. 6731
    • Albazzaz, H.1    Wang, X.Z.2
  • 15
    • 1342285571 scopus 로고    scopus 로고
    • Statistical process monitoring with independent component analysis
    • Lee, J.-M.; Yoo, C. K.; Lee, I.-B. Statistical process monitoring with independent component analysis. J. Process Control 2004, 14, 467.
    • (2004) J. Process Control , vol.14 , pp. 467
    • Lee, J.-M.1    Yoo, C.K.2    Lee, I.-B.3
  • 16
    • 2342615505 scopus 로고    scopus 로고
    • On-line monitoring of batch processes using multiway independent component analysis
    • Yoo, C. K.; Lee, J.-M.; Vanrolleghem, P. A.; Lee, I.-B. On-line monitoring of batch processes using multiway independent component analysis. Chemom. Intell. Lab. Syst. 2004, 71, 151.
    • (2004) Chemom. Intell. Lab. Syst , vol.71 , pp. 151
    • Yoo, C.K.1    Lee, J.-M.2    Vanrolleghem, P.A.3    Lee, I.-B.4
  • 17
    • 0037394190 scopus 로고    scopus 로고
    • Monitoring independent components for fault detection
    • Kano, M.; Tanaka, S.; Hasebe, S.; Hashimoto, I.; Ohno, H. Monitoring independent components for fault detection. AIChE J. 2003, 49, 969.
    • (2003) AIChE J , vol.49 , pp. 969
    • Kano, M.1    Tanaka, S.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5
  • 18
    • 33749473097 scopus 로고    scopus 로고
    • Fault detection and diagnosis based on modified independent component analysis
    • Lee, J.-M.; Qin, S. J.; Lee, I.-B. Fault detection and diagnosis based on modified independent component analysis. AIChE J. 2006, 52, 3501.
    • (2006) AIChE J , vol.52 , pp. 3501
    • Lee, J.-M.1    Qin, S.J.2    Lee, I.-B.3
  • 19
    • 33845793937 scopus 로고    scopus 로고
    • Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing
    • Ahn, H.; Choi, E.; Han, I. Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing. Expert Syst. Appl. 2007, 33, 181.
    • (2007) Expert Syst. Appl , vol.33 , pp. 181
    • Ahn, H.1    Choi, E.2    Han, I.3
  • 20
    • 4344598922 scopus 로고    scopus 로고
    • Recovering dipole sources from scalp-recorded event-related-potentials using component analysis: Principal component analysis and independent component analysis
    • Richards, J. E. Recovering dipole sources from scalp-recorded event-related-potentials using component analysis: principal component analysis and independent component analysis. Int. J. Psychophysiol. 2004, 54, 201.
    • (2004) Int. J. Psychophysiol , vol.54 , pp. 201
    • Richards, J.E.1
  • 22
    • 34247109083 scopus 로고    scopus 로고
    • Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors
    • Ge, Z. Q.; Song, Z. H. Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors. Ind. Eng. Chem. Res. 2007, 46, 2054.
    • (2007) Ind. Eng. Chem. Res , vol.46 , pp. 2054
    • Ge, Z.Q.1    Song, Z.H.2
  • 23
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS algorithms for adaptive data modeling
    • Qin, S. J. Recursive PLS algorithms for adaptive data modeling. Comput. Chem. Eng. 1998, 22, 503.
    • (1998) Comput. Chem. Eng , vol.22 , pp. 503
    • Qin, S.J.1
  • 24
    • 0038198780 scopus 로고    scopus 로고
    • Recursive partial least squares algorithms for monitoring complex industrial processes
    • Wang, X.; Krager, U.; Lennox, B. Recursive partial least squares algorithms for monitoring complex industrial processes. Control Eng. Pract. 2003, 11, 613.
    • (2003) Control Eng. Pract , vol.11 , pp. 613
    • Wang, X.1    Krager, U.2    Lennox, B.3
  • 27
    • 0031168001 scopus 로고    scopus 로고
    • Recursive exponentially weighted PLS and its applications to adaptive control and prediction
    • Dayal, B. S.; MacGregor, J. F. Recursive exponentially weighted PLS and its applications to adaptive control and prediction. J.Process Control 1997, 7, 169.
    • (1997) J.Process Control , vol.7 , pp. 169
    • Dayal, B.S.1    MacGregor, J.F.2
  • 28
    • 0036209691 scopus 로고    scopus 로고
    • Adaptive multiscale principal components analysis for online monitoring of wastewater treatment
    • Lennox, J.; Rosen, C. Adaptive multiscale principal components analysis for online monitoring of wastewater treatment. Water Sci. Technol. 2002, 45, 227.
    • (2002) Water Sci. Technol , vol.45 , pp. 227
    • Lennox, J.1    Rosen, C.2
  • 29
    • 0037457689 scopus 로고    scopus 로고
    • Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis
    • Lee, D. S.; Vanrolleghem, P. A. Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis. Biotechnol. Bioeng. 2003, 82, 489.
    • (2003) Biotechnol. Bioeng , vol.82 , pp. 489
    • Lee, D.S.1    Vanrolleghem, P.A.2
  • 30
    • 0242390969 scopus 로고    scopus 로고
    • On-line batch process monitoring using a consecutively updated multiway principal component analysis method
    • Lee, J.-M.; Yoo, C. K.; Lee, I.-B. On-line batch process monitoring using a consecutively updated multiway principal component analysis method. Comput. Chem. Eng. 2003, 27, 1903.
    • (2003) Comput. Chem. Eng , vol.27 , pp. 1903
    • Lee, J.-M.1    Yoo, C.K.2    Lee, I.-B.3
  • 31
    • 22944436794 scopus 로고    scopus 로고
    • Process monitoring approach using fast moving window PCA
    • Wang, X.; Kruger, U.; Irwin, G. W. Process monitoring approach using fast moving window PCA. Ind. Eng. Chem. Res. 2005, 44, 5691.
    • (2005) Ind. Eng. Chem. Res , vol.44 , pp. 5691
    • Wang, X.1    Kruger, U.2    Irwin, G.W.3
  • 32
    • 33646536772 scopus 로고    scopus 로고
    • Adaptive multivariate statistical process control for monitoring time-varying processes
    • Choi, S. W.; Martin, E. B.; Morris, A. J.; Lee, I. B. Adaptive multivariate statistical process control for monitoring time-varying processes. Ind. Eng. Chem. Res. 2006, 45, 3108.
    • (2006) Ind. Eng. Chem. Res , vol.45 , pp. 3108
    • Choi, S.W.1    Martin, E.B.2    Morris, A.J.3    Lee, I.B.4
  • 33
    • 31544440191 scopus 로고    scopus 로고
    • Robust recursive principal component analysis modeling for adaptive monitoring
    • Jin, H. D.; Lee, Y.-H.; Lee, G.; Han, C. H. Robust recursive principal component analysis modeling for adaptive monitoring. Ind. Eng. Chem. Res. 2006, 45, 696.
    • (2006) Ind. Eng. Chem. Res , vol.45 , pp. 696
    • Jin, H.D.1    Lee, Y.-H.2    Lee, G.3    Han, C.H.4
  • 34
    • 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. Magn. 2002, 22, 40.
    • (2002) IEEE Control Syst. Magn , vol.22 , pp. 40
    • Ündey, C.1    Cinar, A.2
  • 35
    • 1042268071 scopus 로고    scopus 로고
    • A sub-PCA modeling and online monitoring strategy for batch processes
    • Lu, N. Y.; Gao, F. R.; Wang, F. L. A sub-PCA modeling and online monitoring strategy for batch processes. AIChE J. 2004, 50, 255.
    • (2004) AIChE J , vol.50 , pp. 255
    • Lu, N.Y.1    Gao, F.R.2    Wang, F.L.3
  • 36
    • 33750361533 scopus 로고    scopus 로고
    • Online monitoring of batch processes using multi-phase principal component analysis
    • Camacho, J.; Picó, J. Online monitoring of batch processes using multi-phase principal component analysis. J.Process Control 2006, 16, 1021.
    • (2006) J.Process Control , vol.16 , pp. 1021
    • Camacho, J.1    Picó, J.2
  • 37
    • 33645311553 scopus 로고    scopus 로고
    • Multi-phase principal component analysis for batch processes modeling
    • Camacho, J.; Picó, J. Multi-phase principal component analysis for batch processes modeling. Chemom. Intell. Lab. Syst. 2006, 81, 127.
    • (2006) Chemom. Intell. Lab. Syst , vol.81 , pp. 127
    • Camacho, J.1    Picó, J.2
  • 38
    • 35348990398 scopus 로고    scopus 로고
    • Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: A case study with rifamycin B fermentation
    • Doan, X.-T.; Srinivasan, R.; Bapat, P. M.; Wangikar, P. P. Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: A case study with rifamycin B fermentation. J. Biotechnol. 2007, 132, 156.
    • (2007) J. Biotechnol , vol.132 , pp. 156
    • Doan, X.-T.1    Srinivasan, R.2    Bapat, P.M.3    Wangikar, P.P.4
  • 39
    • 42149134815 scopus 로고    scopus 로고
    • Quality prediction based on phase-specific average trajectory for batch processes
    • Zhao, C. H.; Wang, F. L.; Mao, Z. Z.; Lu, N. Y.; Jia, M. X. Quality prediction based on phase-specific average trajectory for batch processes. AIChE J. 2008, 54, 693.
    • (2008) AIChE J , vol.54 , pp. 693
    • Zhao, C.H.1    Wang, F.L.2    Mao, Z.Z.3    Lu, N.Y.4    Jia, M.X.5
  • 40
    • 39449135610 scopus 로고    scopus 로고
    • Improved Knowledge Extraction and Phase-Based Quality Prediction for Batch Processes
    • Zhao, C. H.; Wang, F. L.; Mao, Z. Z.; Lu, N. Y.; Jia, M. X. Improved Knowledge Extraction and Phase-Based Quality Prediction for Batch Processes, Ind. Eng. Chem. Res. 2008, 47, 825.
    • (2008) Ind. Eng. Chem. Res , vol.47 , pp. 825
    • Zhao, C.H.1    Wang, F.L.2    Mao, Z.Z.3    Lu, N.Y.4    Jia, M.X.5
  • 41
    • 84951601886 scopus 로고
    • Cross-validatory estimation of the number of components in factor and principle components
    • Wold, S. Cross-validatory estimation of the number of components in factor and principle components. Technometrics 1978, 20, 397.
    • (1978) Technometrics , vol.20 , pp. 397
    • Wold, S.1
  • 42
    • 0034130478 scopus 로고    scopus 로고
    • The application of principal component analysis and kernel density estimation to enhance process monitoring
    • Chen, Q.; Wynne, R. J.; Goulding, P.; Sandoz, D. The application of principal component analysis and kernel density estimation to enhance process monitoring. Control Eng. Pract. 2000, 8, 531.
    • (2000) Control Eng. Pract , vol.8 , pp. 531
    • Chen, Q.1    Wynne, R.J.2    Goulding, P.3    Sandoz, D.4
  • 43
    • 0030525683 scopus 로고    scopus 로고
    • Non-parametric confidence bounds for process performance monitoring charts
    • Martin, E. B.; Morris, A. J. Non-parametric confidence bounds for process performance monitoring charts. J.Process Control 1996, 6, 349.
    • (1996) J.Process Control , vol.6 , pp. 349
    • Martin, E.B.1    Morris, A.J.2
  • 44
    • 0001606671 scopus 로고    scopus 로고
    • Contribution plots: A missing link in multivariate quality control
    • Miller, P.; Swanson, R. E.; Heckler, C. E. Contribution plots: A missing link in multivariate quality control. Appl. Math. Comput. Sci. 1998, 8, 775.
    • (1998) Appl. Math. Comput. Sci , vol.8 , pp. 775
    • Miller, P.1    Swanson, R.E.2    Heckler, C.E.3
  • 45
    • 0034621628 scopus 로고    scopus 로고
    • Generalized contribution plots in multivariate statistical process monitoring
    • Westerhuis, J. A.; Gulden, S. P.; Smilde, A. K. Generalized contribution plots in multivariate statistical process monitoring. Chemom. Intell. Lab. Syst. 2000, 51, 95.
    • (2000) Chemom. Intell. Lab. Syst , vol.51 , pp. 95
    • Westerhuis, J.A.1    Gulden, S.P.2    Smilde, A.K.3
  • 46
    • 0037022983 scopus 로고    scopus 로고
    • A morphologically structured model for penicillin production
    • Birol, G.; Ündey, C.; Parulekar, S. J.; Cinar, A. A morphologically structured model for penicillin production. Biotechnol. Bioeng. 2002, 77, 538.
    • (2002) Biotechnol. Bioeng , vol.77 , pp. 538
    • Birol, G.1    Ündey, C.2    Parulekar, S.J.3    Cinar, A.4
  • 47
    • 0037110983 scopus 로고    scopus 로고
    • A modular simulation package for fed-batch fermentation: Penicillin production
    • Birol, G.; Ündey, C.; Cinar, A. A modular simulation package for fed-batch fermentation: Penicillin production. Comput. Chem. Eng. 2002, 26, 1553.
    • (2002) Comput. Chem. Eng , vol.26 , pp. 1553
    • Birol, G.1    Ündey, C.2    Cinar, A.3
  • 48
    • 21844434004 scopus 로고    scopus 로고
    • Fault detection properties of global, local and time evolving models for batch process monitoring
    • Ramaker, H.-J.; van Sprang, E. N. M.; Westerhuis, J. A.; Smilde, A. K. Fault detection properties of global, local and time evolving models for batch process monitoring. J. Process Control 2005, 15, 799.
    • (2005) J. Process Control , vol.15 , pp. 799
    • Ramaker, H.-J.1    van Sprang, E.N.M.2    Westerhuis, J.A.3    Smilde, A.K.4


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