-
1
-
-
30544445406
-
Two-dimensional dynamic PCA for batch process monitoring
-
Lu, N.; Yao, Y.; Gao, F.; Wang, 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
Wang, F.4
-
2
-
-
33845516625
-
Control and optimization of batch processes: Improvement of process operation in the production of specialty chemicals
-
Bonvin, D.; Srinivasan, B.; Hunkeler, D. Control and optimization of batch processes: Improvement of process operation in the production of specialty chemicals. IEEE Control Syst. Mag. 2006, 26, 34-45.
-
(2006)
IEEE Control Syst. Mag.
, vol.26
, pp. 34-45
-
-
Bonvin, D.1
Srinivasan, B.2
Hunkeler, D.3
-
3
-
-
53649088652
-
Using unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor
-
Aguado, D.; Ferrer, A.; Seco, A.; Ferrer, J. Using unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor. J. Chemom. 2008, 22, 81-90.
-
(2008)
J. Chemom.
, vol.22
, pp. 81-90
-
-
Aguado, D.1
Ferrer, A.2
Seco, A.3
Ferrer, J.4
-
4
-
-
0029518117
-
An efficient method for on-line identification of steady state
-
Cao, S.; Rhinehart, R. An efficient method for on-line identification of steady state. J. Process Control 1995, 5, 363-374.
-
(1995)
J. Process Control
, vol.5
, pp. 363-374
-
-
Cao, S.1
Rhinehart, R.2
-
6
-
-
0034281419
-
Demonstration of a method for automated steady-state identification in multivariable systems
-
Brown, P.; Rhinehart, R. Demonstration of a method for automated steady-state identification in multivariable systems. Hydrocarbon Process. 2000, 79, 79-83.
-
(2000)
Hydrocarbon Process.
, vol.79
, pp. 79-83
-
-
Brown, P.1
Rhinehart, R.2
-
7
-
-
53649109019
-
Algorithm for steady state detection of multivariate process: Application to anaerobic wastewater digestion process
-
Viena, Austria
-
Ruiz, G.; Castellano, M.; González, W.; Roca, E.; Lema, J. Algorithm for steady state detection of multivariate process: Application to anaerobic wastewater digestion process. Proceedings of the 2nd International IWA Conference on Automation in Water Quality Monitoring (AutMoNet), Viena, Austria, 2004.
-
(2004)
Proceedings of the 2nd International IWA Conference on Automation in Water Quality Monitoring (AutMoNet)
-
-
Ruiz, G.1
Castellano, M.2
González, W.3
Roca, E.4
Lema, J.5
-
9
-
-
0028892168
-
Disturbance detection and isolation by dynamic principal component analysis
-
Ku, W.; Storer, R.; 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.2
Georgakis, C.3
-
10
-
-
0028483476
-
Monitoring batch processes using multiway principal component analysis
-
Nomikos, P.; MacGregor, J. Monitoring 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.2
-
11
-
-
0029252734
-
Multivariate SPC charts for monitoring batch processes
-
Nomikos, P.; MacGregor, J. Multivariate SPC charts for monitoring batch processes. Technometrics 1995, 41-59.
-
(1995)
Technometrics
, pp. 41-59
-
-
Nomikos, P.1
MacGregor, J.2
-
12
-
-
0001694821
-
The mean square successive difference
-
Von Neumann, J.; Kent, R.; Bellinson, H.; Hart, B. The mean square successive difference. Ann. Math. Stat. 1941, 153-162.
-
(1941)
Ann. Math. Stat.
, pp. 153-162
-
-
Von Neumann, J.1
Kent, R.2
Bellinson, H.3
Hart, B.4
-
13
-
-
0000718672
-
Distribution of the ratio of the mean square successive difference to the variance
-
Von Neumann, J. Distribution of the ratio of the mean square successive difference to the variance. Ann. Math. Stat. 1941, 367-395.
-
(1941)
Ann. Math. Stat.
, pp. 367-395
-
-
Von Neumann, J.1
-
14
-
-
0031126471
-
Critical values for a steady state identifier
-
Cao, S.; Rhinehart, R. Critical values for a steady state identifier. J. Process Control 1997, 7, 149-152.
-
(1997)
J. Process Control
, vol.7
, pp. 149-152
-
-
Cao, S.1
Rhinehart, R.2
-
16
-
-
2942672193
-
PCA-based modeling and on-line monitoring strategy for uneven-length batch processes
-
Lu, N.; Gao, F.; Yang, Y.; Wang, F. PCA-based modeling and on-line monitoring strategy for uneven-length batch processes. Ind. Eng. Chem. Res. 2004, 43, 3343-3352. (Pubitemid 38781349)
-
(2004)
Industrial and Engineering Chemistry Research
, vol.43
, Issue.13
, pp. 3343-3352
-
-
Lu, N.1
Gao, F.2
Yang, Y.3
Wang, F.4
-
17
-
-
84950659640
-
Between-groups comparison of principal components
-
Krzanowski, W. Between-groups comparison of principal components. J. Am. Stat. Assoc. 1979, 703-707.
-
(1979)
J. Am. Stat. Assoc.
, pp. 703-707
-
-
Krzanowski, W.1
-
18
-
-
0036804076
-
Pattern matching in historical batch data using PCA
-
Singhal, A.; Seborg, D. Pattern matching in historical batch data using PCA. IEEE Control Syst. Mag. 2002, 22, 53-63.
-
(2002)
IEEE Control Syst. Mag.
, vol.22
, pp. 53-63
-
-
Singhal, A.1
Seborg, D.2
-
19
-
-
6344249065
-
Monitoring of processes with multiple operating modes through multiple principle component analysis models
-
Zhao, S.; Zhang, J.; Xu, Y. Monitoring of processes with multiple operating modes through multiple principle component analysis models. Ind. Eng. Chem. Res. 2004, 43, 7025-7035.
-
(2004)
Ind. Eng. Chem. Res.
, vol.43
, pp. 7025-7035
-
-
Zhao, S.1
Zhang, J.2
Xu, Y.3
-
20
-
-
64849096132
-
Phase and transition based batch process modeling and online monitoring
-
Yao, Y.; Gao, F. Phase and transition based batch process modeling and online monitoring. J. Process Control 2009, 19, 816-826.
-
(2009)
J. Process Control
, vol.19
, pp. 816-826
-
-
Yao, Y.1
Gao, F.2
-
21
-
-
3242734772
-
Steady-state identification, gross error detection, and data reconciliation for industrial process units
-
Bhat, S.; Saraf, D. Steady-state identification, gross error detection, and data reconciliation for industrial process units. Ind. Eng. Chem. Res. 2004, 43, 4323-4336.
-
(2004)
Ind. Eng. Chem. Res.
, vol.43
, pp. 4323-4336
-
-
Bhat, S.1
Saraf, D.2
-
23
-
-
0026191274
-
Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
-
Herault, J.; Jutten, C. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Process. 1991, 24, 1-10.
-
(1991)
Signal Process.
, vol.24
, pp. 1-10
-
-
Herault, J.1
Jutten, C.2
-
24
-
-
34247109083
-
Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors
-
Ge, Z.; Song, Z. Process Monitoring Based on Independent Component Analysis-Principal Component Analysis (ICA-PCA) and Similarity Factors. Ind. Eng. Chem. Res. 2007, 46, 2054-2063.
-
(2007)
Ind. Eng. Chem. Res.
, vol.46
, pp. 2054-2063
-
-
Ge, Z.1
Song, Z.2
-
25
-
-
1042268071
-
Sub-PCA Modeling and on-line Monitoring Strategy for Batch Processes
-
DOI 10.1002/aic.10024
-
Lu, N.; Gao, F.; Wang, F. Sub-PCA modeling and on-line monitoring strategy for batch processes. AIChE J. 2004, 50, 255-259. (Pubitemid 38197428)
-
(2004)
AIChE Journal
, vol.50
, Issue.1
, pp. 255-259
-
-
Lu, N.1
Gao, F.2
Wang, F.3
-
26
-
-
85083202502
-
A stage-based monitoring method for batch processes with limited reference data
-
Boston, MA
-
Lu, N.; Yang, Y.; Wang, F.; Gao, F. A stage-based monitoring method for batch processes with limited reference data. Proceedings of the 7th International Symposium on Dynamics and Control of Process Systems (Dycops-7); Boston, MA, 2004.
-
(2004)
Proceedings of the 7th International Symposium on Dynamics and Control of Process Systems (Dycops-7)
-
-
Lu, N.1
Yang, Y.2
Wang, F.3
Gao, F.4
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