-
1
-
-
0033874542
-
Quality control of polymer production processes
-
DOI 10.1016/S0959-1524(99)00042-6
-
M. Ohshima, and M. Tanigaki Quality control of polymer production processes Journal of Process Control 10 2 2000 135 148 (Pubitemid 30556711)
-
(2000)
Journal of Process Control
, vol.10
, Issue.2
, pp. 135-148
-
-
Ohshima, M.1
Tanigaki, M.2
-
2
-
-
33747883073
-
Measurement and control of polymerization reactors
-
DOI 10.1016/j.compchemeng.2006.05.021, PII S0098135406001402, Papers from Chemical Process Control VII CPC VII
-
J.R. Richards, and J.P. Congalidis Measurement and control of polymerization reactors Computers and Chemical Engineering 30 10-12 2006 1447 1463 (Pubitemid 44292262)
-
(2006)
Computers and Chemical Engineering
, vol.30
, Issue.10-12
, pp. 1447-1463
-
-
Richards, J.R.1
Congalidis, J.P.2
-
3
-
-
28244466399
-
Challenges in particulate polymerization reactor modeling and optimization: A population balance perspective
-
DOI 10.1016/j.jprocont.2005.06.004, PII S0959152405000624
-
C. Kiparissides Challenges in particulate polymerization reactor modeling and optimization: a population balance perspective Journal of Process Control 16 3 2006 205 224 (Pubitemid 41713559)
-
(2006)
Journal of Process Control
, vol.16
, Issue.3
, pp. 205-224
-
-
Kiparissides, C.1
-
4
-
-
11844259510
-
Clustering-based hybrid soft sensor for an industrial polypropylene process with grade changeover operation
-
M. Kim, Y.H. Lee, I.S. Han, and C.H. Han Clustering-based hybrid soft sensor for an industrial polypropylene process with grade changeover operation Industrial and Engineering Chemistry Research 44 2 2005 334 342 (Pubitemid 40096205)
-
(2005)
Industrial and Engineering Chemistry Research
, vol.44
, Issue.2
, pp. 334-342
-
-
Kim, M.1
Lee, Y.-H.2
Han, I.-S.3
Han, C.4
-
5
-
-
33746991704
-
Inferential sensors for estimation of polymer quality parameters: Industrial application of a PLS-based soft sensor for a LDPE plant
-
DOI 10.1016/j.ces.2006.05.046, PII S0009250906003757
-
R. Sharmin, U. Sundararaj, S. Shah, L.V. Griend, and Y.J. Sun Inferential sensors for estimation of polymer quality parameters: industrial application of a PLS-based soft sensor for a LDPE plant Chemical Engineering Science 61 19 2006 6372 6384 (Pubitemid 44205164)
-
(2006)
Chemical Engineering Science
, vol.61
, Issue.19
, pp. 6372-6384
-
-
Sharmin, R.1
Sundararaj, U.2
Shah, S.3
Vande Griend, L.4
Sun, Y.-J.5
-
6
-
-
34147222905
-
On-line soft sensor for polyethylene process with multiple production grades
-
J.L. Liu On-line soft sensor for polyethylene process with multiple production grades Control Engineering Practice 15 7 2007 769 778
-
(2007)
Control Engineering Practice
, vol.15
, Issue.7
, pp. 769-778
-
-
Liu, J.L.1
-
9
-
-
59349107270
-
A recursive PLS-based soft sensor for prediction of the melt index during grade change operations in HDPE plant
-
F. Ahmed, S. Nazir, and Y.K. Yeo A recursive PLS-based soft sensor for prediction of the melt index during grade change operations in HDPE plant Korean Journal of Chemical Engineering 26 1 2009 14 20
-
(2009)
Korean Journal of Chemical Engineering
, vol.26
, Issue.1
, pp. 14-20
-
-
Ahmed, F.1
Nazir, S.2
Yeo, Y.K.3
-
10
-
-
79955476246
-
Novel soft sensor method for detecting completion of transition in industrial polymer processes
-
H. Kaneko, M. Arakawa, and K. Funatsu Novel soft sensor method for detecting completion of transition in industrial polymer processes Computers and Chemical Engineering 35 6 2011 1135 1142
-
(2011)
Computers and Chemical Engineering
, vol.35
, Issue.6
, pp. 1135-1142
-
-
Kaneko, H.1
Arakawa, M.2
Funatsu, K.3
-
11
-
-
80052838846
-
Development of soft sensor models based on time difference of process variables with accounting for nonlinear relationship
-
H. Kaneko, and K. Funatsu Development of soft sensor models based on time difference of process variables with accounting for nonlinear relationship Industrial and Engineering Chemistry Research 50 18 2011 10643 10651
-
(2011)
Industrial and Engineering Chemistry Research
, vol.50
, Issue.18
, pp. 10643-10651
-
-
Kaneko, H.1
Funatsu, K.2
-
12
-
-
33645798861
-
Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neural networks
-
J. Zhang, Q. Jin, and Y.M. Xu Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neural networks Chemical Engineering and Technology 29 4 2006 442 448
-
(2006)
Chemical Engineering and Technology
, vol.29
, Issue.4
, pp. 442-448
-
-
Zhang, J.1
Jin, Q.2
Xu, Y.M.3
-
13
-
-
57049112694
-
ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process
-
J.C.B. Gonzaga, L.A.C. Meleiro, C. Kiang, and R.M. Filho ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process Computers and Chemical Engineering 33 1 2009 43 49
-
(2009)
Computers and Chemical Engineering
, vol.33
, Issue.1
, pp. 43-49
-
-
Gonzaga, J.C.B.1
Meleiro, L.A.C.2
Kiang, C.3
Filho, R.M.4
-
14
-
-
12344280395
-
Melt index modeling with support vector machines, partial least squares, and artificial neural networks
-
I.S. Han, C.H. Han, and C.B. Chung Melt index modeling with support vector machines, partial least squares, and artificial neural networks Journal of Applied Polymer Science 95 4 2005 967 974
-
(2005)
Journal of Applied Polymer Science
, vol.95
, Issue.4
, pp. 967-974
-
-
Han, I.S.1
Han, C.H.2
Chung, C.B.3
-
15
-
-
15944390632
-
Weighted support vector machine for quality estimation in the polymerization process
-
D.E. Lee, J.H. Song, H.O. Song, and E.S. Yoon Weighted support vector machine for quality estimation in the polymerization process Industrial and Engineering Chemistry Research 44 7 2005 2101 2105
-
(2005)
Industrial and Engineering Chemistry Research
, vol.44
, Issue.7
, pp. 2101-2105
-
-
Lee, D.E.1
Song, J.H.2
Song, H.O.3
Yoon, E.S.4
-
16
-
-
33745166286
-
Melt index prediction by weighted least squares support vector machines
-
DOI 10.1002/app.23311
-
J. Shi, and X.G. Liu Melt index prediction by weighted least squares support vector machines Journal of Applied Polymer Science 101 1 2006 285 289 (Pubitemid 43892707)
-
(2006)
Journal of Applied Polymer Science
, vol.101
, Issue.1
, pp. 285-289
-
-
Shi, J.1
Liu, X.2
-
17
-
-
79951983943
-
Application of support vector regression for developing soft sensors for nonlinear processes
-
S.B. Chitralekha, and S.L. Shah Application of support vector regression for developing soft sensors for nonlinear processes Canadian Journal of Chemical Engineering 88 5 2010 696 709
-
(2010)
Canadian Journal of Chemical Engineering
, vol.88
, Issue.5
, pp. 696-709
-
-
Chitralekha, S.B.1
Shah, S.L.2
-
18
-
-
79954505385
-
Quality prediction for polypropylene production process based on CLGPR model
-
Z.Q. Ge, T. Chen, and Z.H. Song Quality prediction for polypropylene production process based on CLGPR model Control Engineering Practice 19 5 2011 423 432
-
(2011)
Control Engineering Practice
, vol.19
, Issue.5
, pp. 423-432
-
-
Ge, Z.Q.1
Chen, T.2
Song, Z.H.3
-
19
-
-
84864805251
-
Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach
-
J. Yu Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach Chemical Engineering Science 82 2012 22 30
-
(2012)
Chemical Engineering Science
, vol.82
, pp. 22-30
-
-
Yu, J.1
-
20
-
-
0032044750
-
Recursive PLS algorithms for adaptive data modeling
-
PII S0098135497002627
-
S.J. Qin Recursive PLS algorithms for adaptive data modeling Computers and Chemical Engineering 22 4-5 1998 503 514 (Pubitemid 128714151)
-
(1998)
Computers and Chemical Engineering
, vol.22
, Issue.4-5
, pp. 503-514
-
-
Qin, S.J.1
-
21
-
-
67650083264
-
Soft chemical analyzer development using adaptive least-squares support vector regression with selective pruning and variable moving window size
-
Y. Liu, N.P. Hu, H.Q. Wang, and P. Li Soft chemical analyzer development using adaptive least-squares support vector regression with selective pruning and variable moving window size Industrial and Engineering Chemistry Research 48 12 2009 5731 5741
-
(2009)
Industrial and Engineering Chemistry Research
, vol.48
, Issue.12
, pp. 5731-5741
-
-
Liu, Y.1
Hu, N.P.2
Wang, H.Q.3
Li, P.4
-
22
-
-
64249101035
-
Moving window kernel PCA for adaptive monitoring of nonlinear processes
-
X. Liu, U. Kruger, T. Littler, L. Xie, and S.Q. Wang Moving window kernel PCA for adaptive monitoring of nonlinear processes Chemometrics and Intelligent Laboratory Systems 96 2 2009 132 143
-
(2009)
Chemometrics and Intelligent Laboratory Systems
, vol.96
, Issue.2
, pp. 132-143
-
-
Liu, X.1
Kruger, U.2
Littler, T.3
Xie, L.4
Wang, S.Q.5
-
23
-
-
33749472827
-
Kernel classifier with adaptive structure and fixed memory for process diagnosis
-
DOI 10.1002/aic.10982
-
H.Q. Wang, P. Li, F.R. Gao, Z.H. Song, and S.X. Ding Kernel classifier with adaptive structure and fixed memory for process diagnosis AIChE Journal 52 10 2006 3515 3531 (Pubitemid 44519579)
-
(2006)
AIChE Journal
, vol.52
, Issue.10
, pp. 3515-3531
-
-
Wang, H.1
Li, P.2
Gao, F.3
Song, Z.4
Ding, S.X.5
-
25
-
-
77956444702
-
The state of the art in chemical process control in Japan: Good practice and questionnaire survey
-
M. Kano, and M. Ogawa The state of the art in chemical process control in Japan: good practice and questionnaire survey Journal of Process Control 20 9 2010 969 982
-
(2010)
Journal of Process Control
, vol.20
, Issue.9
, pp. 969-982
-
-
Kano, M.1
Ogawa, M.2
-
28
-
-
2942558590
-
A new data-based methodology for nonlinear process modeling
-
DOI 10.1016/j.ces.2004.04.020, PII S0009250904002453
-
C. Cheng, and M.S. Chiu A new data-based methodology for nonlinear process modeling Chemical Engineering Science 59 13 2004 2801 2810 (Pubitemid 38763544)
-
(2004)
Chemical Engineering Science
, vol.59
, Issue.13
, pp. 2801-2810
-
-
Cheng, C.1
Chiu, M.-S.2
-
29
-
-
14844303316
-
Nonlinear process monitoring using JITL-PCA
-
DOI 10.1016/j.chemolab.2004.08.003
-
C. Cheng, and M.S. Chiu Nonlinear process monitoring using JITL-PCA Chemometrics and Intelligent Laboratory Systems 76 1 2005 1 13 (Pubitemid 40342905)
-
(2005)
Chemometrics and Intelligent Laboratory Systems
, vol.76
, Issue.1
, pp. 1-13
-
-
Cheng, C.1
Chiu, M.-S.2
-
30
-
-
33847110311
-
Lazy learning-based online identification and adaptive PID control: A case study for CSTR process
-
T.H. Pan, S.Y. Li, and W.J. Cai Lazy learning-based online identification and adaptive PID control: a case study for CSTR process Industrial and Engineering Chemistry Research 46 2 2007 472 480
-
(2007)
Industrial and Engineering Chemistry Research
, vol.46
, Issue.2
, pp. 472-480
-
-
Pan, T.H.1
Li, S.Y.2
Cai, W.J.3
-
31
-
-
67349237491
-
Adaptive generalized predictive control based on JITL technique
-
Y. Kansha, and M.S. Chiu Adaptive generalized predictive control based on JITL technique Journal of Process Control 19 7 2009 1067 1072
-
(2009)
Journal of Process Control
, vol.19
, Issue.7
, pp. 1067-1072
-
-
Kansha, Y.1
Chiu, M.S.2
-
32
-
-
84863357539
-
Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes
-
Y. Liu, Z.L. Gao, P. Li, and H.Q. Wang Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes Industrial and Engineering Chemistry Research 51 11 2012 4313 4327
-
(2012)
Industrial and Engineering Chemistry Research
, vol.51
, Issue.11
, pp. 4313-4327
-
-
Liu, Y.1
Gao, Z.L.2
Li, P.3
Wang, H.Q.4
-
33
-
-
68049143320
-
Soft-sensor development using correlation-based just-in-time modeling
-
K. Fujiwara, M. Kano, S. Hasebe, and A. Takinami Soft-sensor development using correlation-based just-in-time modeling AIChE Journal 55 7 2009 1754 1765
-
(2009)
AIChE Journal
, vol.55
, Issue.7
, pp. 1754-1765
-
-
Fujiwara, K.1
Kano, M.2
Hasebe, S.3
Takinami, A.4
-
34
-
-
84866067015
-
Adaptive decentralized PID controllers design using JITL modeling methodology
-
X. Yang, L. Jia, and M.S. Chiu Adaptive decentralized PID controllers design using JITL modeling methodology Journal of Process Control 22 9 2012 1531 1542
-
(2012)
Journal of Process Control
, vol.22
, Issue.9
, pp. 1531-1542
-
-
Yang, X.1
Jia, L.2
Chiu, M.S.3
-
36
-
-
34247558132
-
Preventing over-fitting during model selection via bayesian regularisation of the hyper-parameters
-
G.C. Cawley, and N.L.C. Talbot Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters Journal of Machine Learning Research 8 4 2007 841 861 (Pubitemid 46677044)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 841-861
-
-
Cawley, G.C.1
Talbot, N.L.C.2
-
37
-
-
0003408420
-
-
MIT Press Cambridge, MA
-
B. Schölkopf, and A.J. Smola Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond 2002 MIT Press Cambridge, MA
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
38
-
-
47549099484
-
Multimode process monitoring with bayesian inference-based finite Gaussian mixture models
-
DOI 10.1002/aic.11515
-
J. Yu, and S.J. Qin Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models AIChE Journal 54 7 2008 1811 1829 (Pubitemid 352006869)
-
(2008)
AIChE Journal
, vol.54
, Issue.7
, pp. 1811-1829
-
-
Yu, J.1
Qin, S.J.2
-
40
-
-
60249095677
-
Probabilistic contribution analysis for statistical process monitoring: A missing variable approach
-
T. Chen, and Y. Sun Probabilistic contribution analysis for statistical process monitoring: a missing variable approach Control Engineering Practice 17 4 2009 469 477
-
(2009)
Control Engineering Practice
, vol.17
, Issue.4
, pp. 469-477
-
-
Chen, T.1
Sun, Y.2
-
41
-
-
84861191986
-
A new dissimilarity method integrating multidimensional mutual information and independent component analysis for non-Gaussian dynamic process monitoring
-
M.M. Rashid, and J. Yu A new dissimilarity method integrating multidimensional mutual information and independent component analysis for non-Gaussian dynamic process monitoring Chemometrics and Intelligent Laboratory Systems 115 2012 44 58
-
(2012)
Chemometrics and Intelligent Laboratory Systems
, vol.115
, pp. 44-58
-
-
Rashid, M.M.1
Yu, J.2
-
42
-
-
0027007477
-
Nonlinear internal model control strategy for neural network models
-
DOI 10.1016/0098-1354(92)80022-2
-
E.P. Nahas, M.A. Henson, and D.E. Seborg Nonlinear internal model control strategy for neural network models Computers and Chemical Engineering 16 12 1992 1039 1057 (Pubitemid 23634676)
-
(1992)
Computers and Chemical Engineering
, vol.16
, Issue.12
, pp. 1039-1057
-
-
Nahas, E.P.1
Henson, M.A.2
Seboro, D.E.3
-
43
-
-
73649091761
-
Selective recursive kernel learning for online identification of nonlinear systems with NARX form
-
Y. Liu, H.Q. Wang, J. Yu, and P. Li Selective recursive kernel learning for online identification of nonlinear systems with NARX form Journal of Process Control 20 2 2010 181 194
-
(2010)
Journal of Process Control
, vol.20
, Issue.2
, pp. 181-194
-
-
Liu, Y.1
Wang, H.Q.2
Yu, J.3
Li, P.4
|