-
1
-
-
0002400707
-
Adequately address abnormal situation management
-
Nimmo I. Adequately address abnormal situation management. Chem Eng Progress. 1995;91:36-45.
-
(1995)
Chem Eng Progress
, vol.91
, pp. 36-45
-
-
Nimmo, I.1
-
3
-
-
0003011311
-
Multivariate statistical methods in process analysis and control
-
AIChE Symposium Proceedings of the 4th International Conference on Chemical Process Control, New York, USA
-
MacGregor JF, Marlin TE, Kresta J, Skagerberg B. Multivariate statistical methods in process analysis and control. In:AIChE Symposium Proceedings of the 4th International Conference on Chemical Process Control, New York, USA, 1991: P-67:79-99.
-
(1991)
, vol.67 P
, pp. 79-99
-
-
MacGregor, J.F.1
Marlin, T.E.2
Kresta, J.3
Skagerberg, B.4
-
4
-
-
0030530039
-
The process chemometrics approach to process monitoring and fault detection
-
Wise BM, Gallagher NB. The process chemometrics approach to process monitoring and fault detection. J Process Control. 1996; 6:329-348.
-
(1996)
J Process Control
, vol.6
, pp. 329-348
-
-
Wise, B.M.1
Gallagher, N.B.2
-
5
-
-
0038198780
-
Recursive partial least squares algorithms for monitoring complex industrial processes
-
Wang X, Kruger U, Lennox B. Recursive partial least squares algorithms for monitoring complex industrial processes. Control Eng Pract. 2003;11:613-632.
-
(2003)
Control Eng Pract
, vol.11
, pp. 613-632
-
-
Wang, X.1
Kruger, U.2
Lennox, B.3
-
6
-
-
0033083952
-
Isolation enhanced principal component analysis
-
Gertler J, Li WH, Huang YB, McAvoy T. Isolation enhanced principal component analysis. AIChE J. 1999;45:323-334.
-
(1999)
AIChE J
, vol.45
, pp. 323-334
-
-
Gertler, J.1
Li, W.H.2
Huang, Y.B.3
McAvoy, T.4
-
7
-
-
18244408225
-
Data-based latent variable methods for process analysis, monitoring and control
-
MacGregor JF, Yu H, Muñoz SG, Flores-Cerrillo J. Data-based latent variable methods for process analysis, monitoring and control. Comput Chem Eng. 2005;29:1217-1223.
-
(2005)
Comput Chem Eng
, vol.29
, pp. 1217-1223
-
-
MacGregor, J.F.1
Yu, H.2
Muñoz, S.G.3
Flores-Cerrillo, J.4
-
8
-
-
36749052831
-
Monitoring a complex refining process using multivariate statistics
-
AlGhazzawi A, Lennox B. Monitoring a complex refining process using multivariate statistics. Control Eng Pract. 2008;16:294-307.
-
(2008)
Control Eng Pract
, vol.16
, pp. 294-307
-
-
AlGhazzawi, A.1
Lennox, B.2
-
9
-
-
47549099484
-
Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models
-
Yu J, Qin J. Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models. AIChE J. 2008;54:1811-1829.
-
(2008)
AIChE J
, vol.54
, pp. 1811-1829
-
-
Yu, J.1
Qin, J.2
-
11
-
-
0032898793
-
Mixture principal component analysis models for process monitoring
-
Chen J, Liu J. Mixture principal component analysis models for process monitoring. Ind Eng Chem Res. 1999;38:1478-1488.
-
(1999)
Ind Eng Chem Res
, vol.38
, pp. 1478-1488
-
-
Chen, J.1
Liu, J.2
-
12
-
-
33646178973
-
Performance monitoring of processes with multiple operating modes through multiple PLS models
-
Zhao SJ, Zhang J, Xu YM. Performance monitoring of processes with multiple operating modes through multiple PLS models. J Process Control. 2006;16:763-772.
-
(2006)
J Process Control
, vol.16
, pp. 763-772
-
-
Zhao, S.J.1
Zhang, J.2
Xu, Y.M.3
-
13
-
-
67349090576
-
An adjoined multimodel approach for monitoring batch and transient operations
-
Ng YS, Srinivasan R. An adjoined multimodel approach for monitoring batch and transient operations. Comput Chem Eng. 2009; 33:887-902.
-
(2009)
Comput Chem Eng
, vol.33
, pp. 887-902
-
-
Ng, Y.S.1
Srinivasan, R.2
-
14
-
-
77953535805
-
Multimodel based process condition monitoring of offshore oil and gas production process
-
Natarajana S, Srinivasan R. Multimodel based process condition monitoring of offshore oil and gas production process. Chem Eng Res Design. 2010;88:572-591.
-
(2010)
Chem Eng Res Design
, vol.88
, pp. 572-591
-
-
Natarajana, S.1
Srinivasan, R.2
-
15
-
-
0033556788
-
Mixtures of probabilistic principal component analyses
-
Tipping ME, Bishop CM. Mixtures of probabilistic principal component analyses. Neural Comput. 1999;11:443-482.
-
(1999)
Neural Comput
, vol.11
, pp. 443-482
-
-
Tipping, M.E.1
Bishop, C.M.2
-
16
-
-
15944370634
-
Fault detection based on a maximum-likelihood principal component analysis (PCA) mixture
-
Choi SW, Martin EB, Morris AJ, Lee IB. Fault detection based on a maximum-likelihood principal component analysis (PCA) mixture. Ind Eng Chem Res. 2005;44:2316-2327.
-
(2005)
Ind Eng Chem Res
, vol.44
, pp. 2316-2327
-
-
Choi, S.W.1
Martin, E.B.2
Morris, A.J.3
Lee, I.B.4
-
17
-
-
77953121551
-
Maximum-likelihood mixture factor analysis model and its application for process monitoring
-
Ge Z, Song Z. Maximum-likelihood mixture factor analysis model and its application for process monitoring. Chemom Intell Lab Syst. 2010;102:53-61.
-
(2010)
Chemom Intell Lab Syst
, vol.102
, pp. 53-61
-
-
Ge, Z.1
Song, Z.2
-
18
-
-
73749084616
-
A robust clustering method for detection of abnormal situations in a process with multiple steady-state operation modes
-
Maestri M, Farall A, Groisman P, Cassanello M, Horowitz G. A robust clustering method for detection of abnormal situations in a process with multiple steady-state operation modes. Comput Chem Eng. 2010;34:223-231.
-
(2010)
Comput Chem Eng
, vol.34
, pp. 223-231
-
-
Maestri, M.1
Farall, A.2
Groisman, P.3
Cassanello, M.4
Horowitz, G.5
-
19
-
-
2342521341
-
Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis
-
Choi SW, Park JH, Lee IB. Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis. Comput Chem Eng. 2004;28:1377-1387.
-
(2004)
Comput Chem Eng
, vol.28
, pp. 1377-1387
-
-
Choi, S.W.1
Park, J.H.2
Lee, I.B.3
-
20
-
-
77649189520
-
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model
-
Chen T, Zhang J. On-line multivariate statistical monitoring of batch processes using Gaussian mixture model. Comput Chem Eng. 2010;34:500-507.
-
(2010)
Comput Chem Eng
, vol.34
, pp. 500-507
-
-
Chen, T.1
Zhang, J.2
-
21
-
-
75149115338
-
Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring
-
Yu J. Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring. J Process Control. 2010;20:344-359.
-
(2010)
J Process Control
, vol.20
, pp. 344-359
-
-
Yu, J.1
-
22
-
-
49249127452
-
Robust online monitoring for multimode processes based on nonlinear external analysis
-
Ge Z, Yang C, Song Z, Wang H. Robust online monitoring for multimode processes based on nonlinear external analysis. Ind Eng Chem Res. 2008;47:4775-4783.
-
(2008)
Ind Eng Chem Res
, vol.47
, pp. 4775-4783
-
-
Ge, Z.1
Yang, C.2
Song, Z.3
Wang, H.4
-
23
-
-
50649095932
-
Online monitoring of nonlinear multiple mode processes based on adaptive local model approach
-
Ge Z, Song Z. Online monitoring of nonlinear multiple mode processes based on adaptive local model approach. Control Eng Pract. 2008;16:1427-1437.
-
(2008)
Control Eng Pract
, vol.16
, pp. 1427-1437
-
-
Ge, Z.1
Song, Z.2
-
24
-
-
72249099895
-
Multimode process monitoring based on Bayesian method
-
Ge Z, Song Z. Multimode process monitoring based on Bayesian method. J Chemometrics. 2009;23:636-650.
-
(2009)
J Chemometrics
, vol.23
, pp. 636-650
-
-
Ge, Z.1
Song, Z.2
-
25
-
-
71549150279
-
data understanding with PCA: structural and variance information plots
-
Camacho J, Pico J, Ferrer A. data understanding with PCA: structural and variance information plots. Chemom Intell Lab Syst. 2010;100:48-56.
-
(2010)
Chemom Intell Lab Syst
, vol.100
, pp. 48-56
-
-
Camacho, J.1
Pico, J.2
Ferrer, A.3
-
26
-
-
78650303983
-
A unified statistical framework for monitoring multivariate systems with unknown source and error signals
-
Feital TS, Kruger U, Xie L, Schubert U, Lima EL, Pinto JC. A unified statistical framework for monitoring multivariate systems with unknown source and error signals. Chemom Intell Lab Syst. 2010;104:223-232.
-
(2010)
Chemom Intell Lab Syst
, vol.104
, pp. 223-232
-
-
Feital, T.S.1
Kruger, U.2
Xie, L.3
Schubert, U.4
Lima, E.L.5
Pinto, J.C.6
-
29
-
-
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 Chemometrics. 2003;17:93-109.
-
(2003)
J Chemometrics
, vol.17
, pp. 93-109
-
-
Kourti, T.1
-
30
-
-
22944436794
-
Process monitoring approach using fast moving window PCA
-
Wang X, Kruger U, Lennox B. Process monitoring approach using fast moving window PCA. Ind Eng Chem Res. 2005;44:5691-5702.
-
(2005)
Ind Eng Chem Res
, vol.44
, pp. 5691-5702
-
-
Wang, X.1
Kruger, U.2
Lennox, B.3
-
31
-
-
0018503842
-
Control procedures for residuals associated with principal component analysis
-
Jackson JE, Mudholkar GS. Control procedures for residuals associated with principal component analysis. Technometrics. 1979;21: 341-349.
-
(1979)
Technometrics
, vol.21
, pp. 341-349
-
-
Jackson, J.E.1
Mudholkar, G.S.2
-
32
-
-
0029252734
-
Multivariate SPC charts for monitoring batch processes
-
Nomikos P, MacGregor JF. Multivariate SPC charts for monitoring batch processes. Technometrics. 1995;37:41-59.
-
(1995)
Technometrics
, vol.37
, pp. 41-59
-
-
Nomikos, P.1
MacGregor, J.F.2
|