-
1
-
-
0029252734
-
Multivariate SPC Chart for Monitoring Batch Processes
-
Nomikos, P.; MacGregor, J. F. Multivariate SPC Chart for Monitoring Batch Processes Technometrics 1995, 37 (1) 41-59 10.1080/00401706.1995.10485888
-
(1995)
Technometrics
, vol.37
, Issue.1
, pp. 41-59
-
-
Nomikos, P.1
MacGregor, J.F.2
-
2
-
-
0028483476
-
Monitoring Batch Processes Using Multiway Principal Component Analysis
-
Nomikos, P.; MacGregor, J. F. Monitoring Batch Processes Using Multiway Principal Component Analysis AIChE J. 1994, 40 (8) 1361-1375 10.1002/aic.690400809
-
(1994)
AIChE J.
, vol.40
, Issue.8
, pp. 1361-1375
-
-
Nomikos, P.1
MacGregor, J.F.2
-
3
-
-
0035919874
-
Process monitoring of an industrial fed-batch fermentation
-
Lennox, B.; Montague, G.; Hiden, H.; Kornfeld, G.; Goulding, P. Process monitoring of an industrial fed-batch fermentation Biotechnol. Bioeng. 2001, 74 (2) 125-135 10.1002/bit.1102
-
(2001)
Biotechnol. Bioeng.
, vol.74
, Issue.2
, pp. 125-135
-
-
Lennox, B.1
Montague, G.2
Hiden, H.3
Kornfeld, G.4
Goulding, P.5
-
4
-
-
0029720138
-
Application of multi-way principal components analysis to nuclear waste storage tank monitoring
-
Gallagher, N. B.; Wise, B. M.; Stewart, C. W. Application of multi-way principal components analysis to nuclear waste storage tank monitoring Comput. Chem. Eng. 1996, 20, S739-S744 10.1016/0098-1354(96)00131-7
-
(1996)
Comput. Chem. Eng.
, vol.20
, pp. S739-S744
-
-
Gallagher, N.B.1
Wise, B.M.2
Stewart, C.W.3
-
5
-
-
0032694625
-
Supervision of fed-batch fermentations
-
Gregersen, L.; Jørgensen, S. B. Supervision of fed-batch fermentations Chem. Eng. J. 1999, 75 (1) 69-76 10.1016/S1385-8947(99)00018-2
-
(1999)
Chem. Eng. J.
, vol.75
, Issue.1
, pp. 69-76
-
-
Gregersen, L.1
Jørgensen, S.B.2
-
6
-
-
84872045622
-
Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model
-
Dong, W.; Yao, Y.; Gao, F. Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model Chin. J. Chem. Eng. 2012, 20 (6) 1121-1127 10.1016/S1004-9541(12)60596-5
-
(2012)
Chin. J. Chem. Eng.
, vol.20
, Issue.6
, pp. 1121-1127
-
-
Dong, W.1
Yao, Y.2
Gao, F.3
-
7
-
-
84898954322
-
Batch Process Monitoring Based on Multisubspace Multiway Principal Component Analysis and Time-Series Bayesian Inference
-
Zhaomin, L.; Qingchao, J.; Xuefeng, Y. Batch Process Monitoring Based on Multisubspace Multiway Principal Component Analysis and Time-Series Bayesian Inference Ind. Eng. Chem. Res. 2014, 53 (15) 6457-6466 10.1021/ie403576c
-
(2014)
Ind. Eng. Chem. Res.
, vol.53
, Issue.15
, pp. 6457-6466
-
-
Zhaomin, L.1
Qingchao, J.2
Xuefeng, Y.3
-
8
-
-
84875001041
-
Review of Recent Research on Data-Based Process Monitoring
-
Ge, Z.; Song, Z.; Gao, F. Review of Recent Research on Data-Based Process Monitoring Ind. Eng. Chem. Res. 2013, 52 (10) 3543-3562 10.1021/ie302069q
-
(2013)
Ind. Eng. Chem. Res.
, vol.52
, Issue.10
, pp. 3543-3562
-
-
Ge, Z.1
Song, Z.2
Gao, F.3
-
9
-
-
84949093447
-
Assumption free modeling and monitoring of batch processes
-
Westad, F.; Gidskehaug, L.; Swarbrick, B.; Flåten, G. R. Assumption free modeling and monitoring of batch processes Chemom. Intell. Lab. Syst. 2015, 149 (B) 66-72 10.1016/j.chemolab.2015.08.022
-
(2015)
Chemom. Intell. Lab. Syst.
, vol.149 B
, pp. 66-72
-
-
Westad, F.1
Gidskehaug, L.2
Swarbrick, B.3
Flåten, G.R.4
-
10
-
-
0344222193
-
Adaptive batch monitoring using hierarchical PCA
-
Rännar, S.; MacGregor, J. F.; Wold, S. Adaptive batch monitoring using hierarchical PCA Chemom. Intell. Lab. Syst. 1998, 41 (1) 73-81 10.1016/S0169-7439(98)00024-0
-
(1998)
Chemom. Intell. Lab. Syst.
, vol.41
, Issue.1
, pp. 73-81
-
-
Rännar, S.1
MacGregor, J.F.2
Wold, S.3
-
11
-
-
0000609488
-
Comparing alternative approaches for multivariate statistical analysis of batch process data
-
Westerhuis, J. A.; Kourti, T.; MacGregor, J. F. Comparing alternative approaches for multivariate statistical analysis of batch process data J. Chemom. 1999, 13 (3-4) 397-413 10.1002/(SICI)1099-128X(199905/08)13:3/4<397::AID-CEM559>3.3.CO;2-9
-
(1999)
J. Chemom.
, vol.13
, Issue.34
, pp. 397-413
-
-
Westerhuis, J.A.1
Kourti, T.2
MacGregor, J.F.3
-
12
-
-
53649083927
-
Bilinear modelling of batch processes. Part I: Theoretical discussion
-
Camacho, J.; Pico, J.; Ferrer, A. Bilinear modelling of batch processes. Part I: theoretical discussion J. Chemom. 2008, 22 (5) 299-308 10.1002/cem.1113
-
(2008)
J. Chemom.
, vol.22
, Issue.5
, pp. 299-308
-
-
Camacho, J.1
Pico, J.2
Ferrer, A.3
-
13
-
-
0037282647
-
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 (1) 93-109 10.1002/cem.778
-
(2003)
J. Chemom.
, vol.17
, Issue.1
, pp. 93-109
-
-
Kourti, T.1
-
14
-
-
84857675671
-
Dynamic model-based fault diagnosis for (bio)chemical batch processes
-
Van den Kerkhof, P.; Gins, G.; Vanlaer, J.; Van Impe, J. F. M. Dynamic model-based fault diagnosis for (bio)chemical batch processes Comput. Chem. Eng. 2012, 40, 12-21 10.1016/j.compchemeng.2012.01.013
-
(2012)
Comput. Chem. Eng.
, vol.40
, pp. 12-21
-
-
Van Den Kerkhof, P.1
Gins, G.2
Vanlaer, J.3
Van Impe, J.F.M.4
-
15
-
-
0037039540
-
On-line batch process monitoring using dynamic PCA and dynamic PLS models
-
Chen, J.; Liu, K.-C. On-line batch process monitoring using dynamic PCA and dynamic PLS models Chem. Eng. Sci. 2002, 57 (1) 63-75 10.1016/S0009-2509(01)00366-9
-
(2002)
Chem. Eng. Sci.
, vol.57
, Issue.1
, pp. 63-75
-
-
Chen, J.1
Liu, K.-C.2
-
16
-
-
36849039411
-
Dynamic model-based batch process monitoring
-
Choi, S. W.; Morris, J.; Lee, I.-B. Dynamic model-based batch process monitoring Chem. Eng. Sci. 2008, 63 (3) 622-636 10.1016/j.ces.2007.09.046
-
(2008)
Chem. Eng. Sci.
, vol.63
, Issue.3
, pp. 622-636
-
-
Choi, S.W.1
Morris, J.2
Lee, I.-B.3
-
18
-
-
0034015053
-
Multivariate statistical process control of batch processes based on three-way models
-
Louwerse, D.; Smilde, A. Multivariate statistical process control of batch processes based on three-way models Chem. Eng. Sci. 2000, 55 (7) 1225-1235 10.1016/S0009-2509(99)00408-X
-
(2000)
Chem. Eng. Sci.
, vol.55
, Issue.7
, pp. 1225-1235
-
-
Louwerse, D.1
Smilde, A.2
-
19
-
-
2342615505
-
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 (2) 151-163 10.1016/j.chemolab.2004.02.002
-
(2004)
Chemom. Intell. Lab. Syst.
, vol.71
, Issue.2
, pp. 151-163
-
-
Yoo, C.K.1
Lee, J.-M.2
Vanrolleghem, P.A.3
Lee, I.-B.4
-
20
-
-
2442495227
-
Fault detection of batch processes using multiway kernel principal component analysis
-
Lee, J.-M.; Yoo, C.; Lee, I.-B. Fault detection of batch processes using multiway kernel principal component analysis Comput. Chem. Eng. 2004, 28 (9) 1837-1847 10.1016/j.compchemeng.2004.02.036
-
(2004)
Comput. Chem. Eng.
, vol.28
, Issue.9
, pp. 1837-1847
-
-
Lee, J.-M.1
Yoo, C.2
Lee, I.-B.3
-
21
-
-
77951090351
-
On-line batch process monitoring using batch dynamic kernel principal component analysis
-
Jia, M.; Chu, F.; Wang, F.; Wang, W. On-line batch process monitoring using batch dynamic kernel principal component analysis Chemom. Intell. Lab. Syst. 2010, 101 (2) 110-122 10.1016/j.chemolab.2010.02.004
-
(2010)
Chemom. Intell. Lab. Syst.
, vol.101
, Issue.2
, pp. 110-122
-
-
Jia, M.1
Chu, F.2
Wang, F.3
Wang, W.4
-
22
-
-
10244238854
-
Fault identification for process monitoring using kernel principal component analysis
-
Cho, J.-H.; Lee, J.-M.; Wook Choi, S.; Lee, D.; Lee, I.-B. Fault identification for process monitoring using kernel principal component analysis Chem. Eng. Sci. 2005, 60 (1) 279-288 10.1016/j.ces.2004.08.007
-
(2005)
Chem. Eng. Sci.
, vol.60
, Issue.1
, pp. 279-288
-
-
Cho, J.-H.1
Lee, J.-M.2
Wook Choi, S.3
Lee, D.4
Lee, I.-B.5
-
23
-
-
0032045464
-
Synchronization of batch trajectories using dynamic time warping
-
Kassidas, A.; MacGregor, J. F.; Taylor, P. A. Synchronization of batch trajectories using dynamic time warping AIChE J. 1998, 44 (4) 864-875 10.1002/aic.690440412
-
(1998)
AIChE J.
, vol.44
, Issue.4
, pp. 864-875
-
-
Kassidas, A.1
MacGregor, J.F.2
Taylor, P.A.3
-
24
-
-
79951949563
-
Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping
-
González-Martínez, J. M.; Ferrer, A.; Westerhuis, J. A. Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping Chemom. Intell. Lab. Syst. 2011, 105 (2) 195-206 10.1016/j.chemolab.2011.01.003
-
(2011)
Chemom. Intell. Lab. Syst.
, vol.105
, Issue.2
, pp. 195-206
-
-
González-Martínez, J.M.1
Ferrer, A.2
Westerhuis, J.A.3
-
25
-
-
33751201276
-
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 (1-2) 56-61 10.1016/j.chemolab.2006.04.020
-
(2006)
Chemom. Intell. Lab. Syst.
, vol.84
, Issue.12
, pp. 56-61
-
-
Fransson, M.1
Folestad, S.2
-
26
-
-
84860470966
-
Hybrid Derivative Dynamic Time Warping for Online Industrial Batch-End Quality Estimation
-
Gins, G.; Van den Kerkhof, P.; Van Impe, J. F. M. Hybrid Derivative Dynamic Time Warping for Online Industrial Batch-End Quality Estimation Ind. Eng. Chem. Res. 2012, 51 (17) 6071-6084 10.1021/ie2019068
-
(2012)
Ind. Eng. Chem. Res.
, vol.51
, Issue.17
, pp. 6071-6084
-
-
Gins, G.1
Van Den Kerkhof, P.2
Van Impe, J.F.M.3
-
27
-
-
0032517828
-
Modelling and diagnostics of batch processes and analogous kinetic experiments
-
Wold, S.; Kettaneh, N.; Fridén, H.; Holmberg, A. Modelling and diagnostics of batch processes and analogous kinetic experiments Chemom. Intell. Lab. Syst. 1998, 44 (1-2) 331-340 10.1016/S0169-7439(98)00162-2
-
(1998)
Chemom. Intell. Lab. Syst.
, vol.44
, Issue.12
, pp. 331-340
-
-
Wold, S.1
Kettaneh, N.2
Fridén, H.3
Holmberg, A.4
-
28
-
-
84892674126
-
Bilinear modeling of batch processes. Part III: Parameter stability
-
González-Martínez, J. M.; Camacho, J.; Ferrer, A. Bilinear modeling of batch processes. Part III: parameter stability J. Chemom. 2014, 28 (1) 10-27 10.1002/cem.2562
-
(2014)
J. Chemom.
, vol.28
, Issue.1
, pp. 10-27
-
-
González-Martínez, J.M.1
Camacho, J.2
Ferrer, A.3
-
29
-
-
0242354134
-
Statistical process monitoring: Basics and beyond
-
Joe Qin, S. Statistical process monitoring: basics and beyond J. Chemom. 2003, 17 (8-9) 480-502 10.1002/cem.800
-
(2003)
J. Chemom.
, vol.17
, Issue.89
, pp. 480-502
-
-
Joe Qin, S.1
-
30
-
-
4344648772
-
Model Predictive Monitoring for Batch Processes
-
García-Muñoz, S.; Kourti, T.; MacGregor, J. F. Model Predictive Monitoring for Batch Processes Ind. Eng. Chem. Res. 2004, 43 (18) 5929-5941 10.1021/ie034020w
-
(2004)
Ind. Eng. Chem. Res.
, vol.43
, Issue.18
, pp. 5929-5941
-
-
García-Muñoz, S.1
Kourti, T.2
MacGregor, J.F.3
-
31
-
-
0036755935
-
Critical evaluation of approaches for on-line batch process monitoring
-
van Sprang, E. N.; Ramaker, H.-J.; Westerhuis, J. A.; Gurden, S. P.; Smilde, A. K. Critical evaluation of approaches for on-line batch process monitoring Chem. Eng. Sci. 2002, 57 (18) 3979-3991 10.1016/S0009-2509(02)00338-X
-
(2002)
Chem. Eng. Sci.
, vol.57
, Issue.18
, pp. 3979-3991
-
-
Van Sprang, E.N.1
Ramaker, H.-J.2
Westerhuis, J.A.3
Gurden, S.P.4
Smilde, A.K.5
-
32
-
-
21844434004
-
Fault detection properties of global, local and time evolving models for batch process monitoring
-
Ramaker, H.-J.; van Sprang, E. N.; 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 (7) 799-805 10.1016/j.jprocont.2005.02.001
-
(2005)
J. Process Control
, vol.15
, Issue.7
, pp. 799-805
-
-
Ramaker, H.-J.1
Van Sprang, E.N.2
Westerhuis, J.A.3
Smilde, A.K.4
-
33
-
-
84907567575
-
Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods
-
Rato, T. J.; Reis, M. S. Non-causal data-driven monitoring of the process correlation structure: a comparison study with new methods Comput. Chem. Eng. 2014, 71, 307-322 10.1016/j.compchemeng.2014.09.003
-
(2014)
Comput. Chem. Eng.
, vol.71
, pp. 307-322
-
-
Rato, T.J.1
Reis, M.S.2
-
34
-
-
52649146451
-
Multiscale statistical process control using wavelet packets
-
Reis, M. S.; Bakshi, B. R.; Saraiva, P. M. Multiscale statistical process control using wavelet packets AIChE J. 2008, 54 (9) 2366-2378 10.1002/aic.11523
-
(2008)
AIChE J.
, vol.54
, Issue.9
, pp. 2366-2378
-
-
Reis, M.S.1
Bakshi, B.R.2
Saraiva, P.M.3
-
35
-
-
84866069902
-
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
-
Yin, S.; Ding, S. X.; Haghani, A.; Hao, H.; Zhang, P. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process J. Process Control 2012, 22 (9) 1567-1581 10.1016/j.jprocont.2012.06.009
-
(2012)
J. Process Control
, vol.22
, Issue.9
, pp. 1567-1581
-
-
Yin, S.1
Ding, S.X.2
Haghani, A.3
Hao, H.4
Zhang, P.5
-
37
-
-
84877316529
-
Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
-
Rato, T. J.; Reis, M. S. Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR) Chemom. Intell. Lab. Syst. 2013, 125 (15) 101-108 10.1016/j.chemolab.2013.04.002
-
(2013)
Chemom. Intell. Lab. Syst.
, vol.125
, Issue.15
, pp. 101-108
-
-
Rato, T.J.1
Reis, M.S.2
-
38
-
-
84940174310
-
On-line process monitoring using local measures of association. Part I: Detection performance
-
Rato, T. J.; Reis, M. S. On-line process monitoring using local measures of association. Part I: Detection performance Chemom. Intell. Lab. Syst. 2015, 142, 255-264 10.1016/j.chemolab.2015.02.011
-
(2015)
Chemom. Intell. Lab. Syst.
, vol.142
, pp. 255-264
-
-
Rato, T.J.1
Reis, M.S.2
-
39
-
-
0001346491
-
Controversies and Contradictions in Statistical Process Control
-
Woodall, W. H. Controversies and Contradictions in Statistical Process Control J. Qual. Technol. 2000, 32 (4) 341-350
-
(2000)
J. Qual. Technol.
, vol.32
, Issue.4
, pp. 341-350
-
-
Woodall, W.H.1
-
41
-
-
84864457668
-
On Assessing the Performance of Sequential Procedures for Detecting a Change
-
Kenett, R. S.; Pollak, M. On Assessing the Performance of Sequential Procedures for Detecting a Change Qual. Reliab. Eng. Int. 2012, 28 (5) 500-507 10.1002/qre.1436
-
(2012)
Qual. Reliab. Eng. Int.
, vol.28
, Issue.5
, pp. 500-507
-
-
Kenett, R.S.1
Pollak, M.2
-
42
-
-
23444448568
-
-
Wiley: Chichester
-
Van der Heijden, F.; Duin, R. P. W.; De Ridder, D.; Tax, D. M. J. Classification, Parameter Estimation and State Estimation; Wiley: Chichester, 2004.
-
(2004)
Classification, Parameter Estimation and State Estimation
-
-
Van Der Heijden, F.1
Duin, R.P.W.2
De Ridder, D.3
Tax, D.M.J.4
-
43
-
-
77951066031
-
One-class classifiers for process monitoring illustrated by the application to online HPLC of a continuous process
-
Kittiwachana, S.; Ferreira, D. L. S.; Lloyd, G. R.; Fido, L. A.; Thompson, D. R.; Escott, R. E. A.; Brereton, R. G. One-class classifiers for process monitoring illustrated by the application to online HPLC of a continuous process J. Chemom. 2010, 24, 96-110 10.1002/cem.1281
-
(2010)
J. Chemom.
, vol.24
, pp. 96-110
-
-
Kittiwachana, S.1
Ferreira, D.L.S.2
Lloyd, G.R.3
Fido, L.A.4
Thompson, D.R.5
Escott, R.E.A.6
Brereton, R.G.7
-
45
-
-
0013953617
-
Some mathematical notes on three-mode factor analysis
-
Tucker, L. R. Some mathematical notes on three-mode factor analysis Psychometrika 1966, 31 (3) 279-311 10.1007/BF02289464
-
(1966)
Psychometrika
, vol.31
, Issue.3
, pp. 279-311
-
-
Tucker, L.R.1
-
46
-
-
34250499792
-
Analysis of individual differences in multidimensional scaling via an n-way generalization of 'eckart-young' decomposition
-
Carroll, J. D.; Chang, J. Analysis of individual differences in multidimensional scaling via an n-way generalization of 'eckart-young' decomposition Psychometrica 1970, 35, 283-319 10.1007/BF02310791
-
(1970)
Psychometrica
, vol.35
, pp. 283-319
-
-
Carroll, J.D.1
Chang, J.2
-
47
-
-
0002740437
-
Foundations of the PARAFAC procedure: Models and condictions for 'an exploratory' multi-mode factor analysis
-
Harshman, R. A. Foundations of the PARAFAC procedure: models and condictions for 'an exploratory' multi-mode factor analysis UCLA Work. Pap. Phonet. 1970, 16, 1-84
-
(1970)
UCLA Work. Pap. Phonet.
, vol.16
, pp. 1-84
-
-
Harshman, R.A.1
-
48
-
-
0035965677
-
A comparison of multiway regression and scaling methods
-
Gurden, S. P.; Westerhuis, J. A.; Bro, R.; Smilde, A. K. A comparison of multiway regression and scaling methods Chemom. Intell. Lab. Syst. 2001, 59 (1-2) 121-136 10.1016/S0169-7439(01)00168-X
-
(2001)
Chemom. Intell. Lab. Syst.
, vol.59
, Issue.12
, pp. 121-136
-
-
Gurden, S.P.1
Westerhuis, J.A.2
Bro, R.3
Smilde, A.K.4
-
49
-
-
0028892168
-
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 (1) 179-196 10.1016/0169-7439(95)00076-3
-
(1995)
Chemom. Intell. Lab. Syst.
, vol.30
, Issue.1
, pp. 179-196
-
-
Ku, W.1
Storer, R.H.2
Georgakis, C.3
-
50
-
-
0036685755
-
Dealing with missing data in MSPC: Several methods, different interpretations, some examples
-
Arteaga, F.; Ferrer, A. Dealing with missing data in MSPC: several methods, different interpretations, some examples J. Chemom. 2002, 16, 408-418 10.1002/cem.750
-
(2002)
J. Chemom.
, vol.16
, pp. 408-418
-
-
Arteaga, F.1
Ferrer, A.2
-
51
-
-
0030296884
-
Missing data methods in PCA and PLS: Score calculations with incomplete observations
-
Nelson, P. R. C.; Taylor, P. A.; MacGregor, J. F. Missing data methods in PCA and PLS: Score calculations with incomplete observations Chemom. Intell. Lab. Syst. 1996, 35, 45-65 10.1016/S0169-7439(96)00007-X
-
(1996)
Chemom. Intell. Lab. Syst.
, vol.35
, pp. 45-65
-
-
Nelson, P.R.C.1
Taylor, P.A.2
MacGregor, J.F.3
-
52
-
-
84877112226
-
Defining the structure of DPCA models and its impact on process monitoring and prediction activities
-
Rato, T. J.; Reis, M. S. Defining the structure of DPCA models and its impact on process monitoring and prediction activities Chemom. Intell. Lab. Syst. 2013, 125 (15) 74-86 10.1016/j.chemolab.2013.03.009
-
(2013)
Chemom. Intell. Lab. Syst.
, vol.125
, Issue.15
, pp. 74-86
-
-
Rato, T.J.1
Reis, M.S.2
-
53
-
-
84896499725
-
Effect of Synchronization on Bilinear Batch Process Modeling
-
González-Martínez, J. M.; Vitale, R.; de Noord, O. E.; Ferrer, A. Effect of Synchronization on Bilinear Batch Process Modeling Ind. Eng. Chem. Res. 2014, 53 (11) 4339-4351 10.1021/ie402052v
-
(2014)
Ind. Eng. Chem. Res.
, vol.53
, Issue.11
, pp. 4339-4351
-
-
González-Martínez, J.M.1
Vitale, R.2
De Noord, O.E.3
Ferrer, A.4
-
54
-
-
0141566609
-
Online Batch/Fed-Batch Process Performance Monitoring, Quality Prediction, and Variable-Contribution Analysis for Diagnosis
-
Ündey, C.; Ertunç, S.; Clnar, A. Online Batch/Fed-Batch Process Performance Monitoring, Quality Prediction, and Variable-Contribution Analysis for Diagnosis Ind. Eng. Chem. Res. 2003, 42 (20) 4645-4658 10.1021/ie0208218
-
(2003)
Ind. Eng. Chem. Res.
, vol.42
, Issue.20
, pp. 4645-4658
-
-
Ündey, C.1
Ertunç, S.2
Clnar, A.3
-
55
-
-
4444351752
-
Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data
-
Tomasi, G.; van den Berg, F.; Andersson, C. Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data J. Chemom. 2004, 18 (5) 231-241 10.1002/cem.859
-
(2004)
J. Chemom.
, vol.18
, Issue.5
, pp. 231-241
-
-
Tomasi, G.1
Van Den Berg, F.2
Andersson, C.3
-
56
-
-
0037110983
-
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 (11) 1553-1565 10.1016/S0098-1354(02)00127-8
-
(2002)
Comput. Chem. Eng.
, vol.26
, Issue.11
, pp. 1553-1565
-
-
Birol, G.1
Ündey, C.2
Cinar, A.3
-
57
-
-
84924962136
-
Variable moving windows based non-Gaussian dissimilarity analysis technique for batch processes fault detection and diagnosis
-
Li, Y.; Zhang, X. Variable moving windows based non-Gaussian dissimilarity analysis technique for batch processes fault detection and diagnosis Can. J. Chem. Eng. 2015, 93 (4) 689-707 10.1002/cjce.22162
-
(2015)
Can. J. Chem. Eng.
, vol.93
, Issue.4
, pp. 689-707
-
-
Li, Y.1
Zhang, X.2
-
58
-
-
84876401846
-
On-line Batch Process Monitoring with Improved Multi-way Independent Component Analysis
-
Guo, H.; Li, H. On-line Batch Process Monitoring with Improved Multi-way Independent Component Analysis Chin. J. Chem. Eng. 2013, 21 (3) 263-270 10.1016/S1004-9541(13)60485-4
-
(2013)
Chin. J. Chem. Eng.
, vol.21
, Issue.3
, pp. 263-270
-
-
Guo, H.1
Li, H.2
-
59
-
-
1642574301
-
Intelligent real-time performance monitoring and quality prediction for batch/fed-batch cultivations
-
Ündey, C.; Tatara, E.; Clnar, A. Intelligent real-time performance monitoring and quality prediction for batch/fed-batch cultivations J. Biotechnol. 2004, 108 (1) 61-77 10.1016/j.jbiotec.2003.10.004
-
(2004)
J. Biotechnol.
, vol.108
, Issue.1
, pp. 61-77
-
-
Ündey, C.1
Tatara, E.2
Clnar, A.3
-
60
-
-
2342642072
-
Enhanced process monitoring of fed-batch penicillin cultivation using time-varying and multivariate statistical analysis
-
Lee, J. M.; Yoo, C. K.; Lee, I. B. Enhanced process monitoring of fed-batch penicillin cultivation using time-varying and multivariate statistical analysis J. Biotechnol. 2004, 110 (2) 119-36 10.1016/j.jbiotec.2004.01.016
-
(2004)
J. Biotechnol.
, vol.110
, Issue.2
, pp. 119-136
-
-
Lee, J.M.1
Yoo, C.K.2
Lee, I.B.3
-
61
-
-
0003483720
-
-
John Wiley & Sons
-
Ingham, J.; Dunn, I. J.; Heinzle, E.; Prenosil, J. E.; Snape, J. B. Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation; John Wiley & Sons: 2008; Vol. 3.
-
(2008)
Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation
, vol.3
-
-
Ingham, J.1
Dunn, I.J.2
Heinzle, E.3
Prenosil, J.E.4
Snape, J.B.5
-
62
-
-
33645344085
-
Industrial experiences with multivariate statistical analysis of batch process data
-
Chiang, L. H.; Leardi, R.; Pell, R. J.; Seasholtz, M. B. Industrial experiences with multivariate statistical analysis of batch process data Chemom. Intell. Lab. Syst. 2006, 81 (2) 109-119 10.1016/j.chemolab.2005.10.006
-
(2006)
Chemom. Intell. Lab. Syst.
, vol.81
, Issue.2
, pp. 109-119
-
-
Chiang, L.H.1
Leardi, R.2
Pell, R.J.3
Seasholtz, M.B.4
-
63
-
-
65449169571
-
The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?
-
Camacho, J.; Picó, J.; Ferrer, A. The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter? Anal. Chim. Acta 2009, 642 (1) 59-68 10.1016/j.aca.2009.02.001
-
(2009)
Anal. Chim. Acta
, vol.642
, Issue.1
, pp. 59-68
-
-
Camacho, J.1
Picó, J.2
Ferrer, A.3
|