-
1
-
-
0029267381
-
Statistical process control of multivariate processes
-
J. MacGregor, and T. Kourti Statistical process control of multivariate processes Control Engineering Practice 3 1995 403 414
-
(1995)
Control Engineering Practice
, vol.3
, pp. 403-414
-
-
Macgregor, J.1
Kourti, T.2
-
4
-
-
0032118892
-
Multiscale PCA with application to multivariate statistical process monitoring
-
B.R. Bakshi Multiscale PCA with application to multivariate statistical process monitoring AIChE Journal 44 1998 1596 1610 (Pubitemid 128768960)
-
(1998)
AIChE Journal
, vol.44
, Issue.7
, pp. 1596-1610
-
-
Bakshi, B.R.1
-
5
-
-
0038198780
-
Recursive partial least squares algorithms for monitoring complex industrial processes
-
DOI 10.1016/S0967-0661(02)00096-5, PII S0967066102000965
-
X. Wang, U. Kruger, and B. Lennox Recursive partial least squares algorithm for monitoring complex industrial processes Control Engineering Practice 11 2003 613 632 (Pubitemid 36777464)
-
(2003)
Control Engineering Practice
, vol.11
, Issue.6
, pp. 613-632
-
-
Wang, X.1
Kruger, U.2
Lennox, B.3
-
6
-
-
0346911568
-
Nonlinear process monitoring using kernel principal component analysis
-
DOI 10.1016/j.ces.2003.09.012
-
J.M. Lee, C.K. Yoo, S.W. Choi, P.A. Vanrolleghem, and I.B. Lee Nonlinear process monitoring using kernel principal component analysis Chemical Engineering Science 59 2004 223 234 (Pubitemid 38034007)
-
(2004)
Chemical Engineering Science
, vol.59
, Issue.1
, pp. 223-234
-
-
Lee, J.-M.1
Yoo, C.K.2
Choi, S.W.3
Vanrolleghem, P.A.4
Lee, I.-B.5
-
7
-
-
77955305868
-
Nonlinear process monitoring based on linear subspace and Bayesian inference
-
Z.Q. Ge, M.G. Zhang, and Z.H. Song Nonlinear process monitoring based on linear subspace and Bayesian inference Journal of Process Control 20 2010 676 688
-
(2010)
Journal of Process Control
, vol.20
, pp. 676-688
-
-
Ge, Z.Q.1
Zhang, M.G.2
Song, Z.H.3
-
8
-
-
80051697507
-
Fault detection, identification and diagnosis using CUSUM based PCA
-
M.A.B. Shams, H.M. Budman, and T.A. Duever Fault detection, identification and diagnosis using CUSUM based PCA Chemical Engineering Science 66 2011 4488 4498
-
(2011)
Chemical Engineering Science
, vol.66
, pp. 4488-4498
-
-
Shams, M.A.B.1
Budman, H.M.2
Duever, T.A.3
-
9
-
-
0034621334
-
Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
-
DOI 10.1016/S0169-7439(00)00058-7, PII S0169743900000587
-
E.L. Russell, L.H. Chiang, and R.D. Braatz Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis Chemometrics and Intelligent Laboratory Systems 51 2000 81 93 (Pubitemid 30251932)
-
(2000)
Chemometrics and Intelligent Laboratory Systems
, vol.51
, Issue.1
, pp. 81-93
-
-
Russell, E.L.1
Chiang, L.H.2
Braatz, R.D.3
-
10
-
-
33749473097
-
Fault detection and diagnosis based on modified independent component analysis
-
DOI 10.1002/aic.10978
-
J.M. Lee, S.J. Qin, and I.B. Lee Fault detection and diagnosis based on modified independent component analysis AIChE Journal 52 2006 3501 3514 (Pubitemid 44519578)
-
(2006)
AIChE Journal
, vol.52
, Issue.10
, pp. 3501-3514
-
-
Lee, J.-M.1
Qin, S.J.2
Lee, I.-B.3
-
11
-
-
34548593553
-
Fault detection of non-linear processes using kernel independent component analysis
-
J.M. Lee, S.J. Qin, and I.B. Lee Fault detection of non-linear processes using kernel independent component analysis Canadian Journal of Chemical Engineering 85 2007 526 536
-
(2007)
Canadian Journal of Chemical Engineering
, vol.85
, pp. 526-536
-
-
Lee, J.M.1
Qin, S.J.2
Lee, I.B.3
-
12
-
-
79959985541
-
Global-local structure analysis model and its application for fault detection and identification
-
M.G. Zhang, Z.Q. Ge, Z.H. Song, and R.W. Fu Global-local structure analysis model and its application for fault detection and identification Industrial and Engineering Chemistry Research 50 2011 6837 6848
-
(2011)
Industrial and Engineering Chemistry Research
, vol.50
, pp. 6837-6848
-
-
Zhang, M.G.1
Ge, Z.Q.2
Song, Z.H.3
Fu, R.W.4
-
13
-
-
80052565753
-
Improved nonlinear PCA for process monitoring using support vector data description
-
X.Q. Liu, K. Li, M. McAfee, and G.W. Irwin Improved nonlinear PCA for process monitoring using support vector data description Journal of Process Control 21 2011 1306 1317
-
(2011)
Journal of Process Control
, vol.21
, pp. 1306-1317
-
-
Liu, X.Q.1
Li, K.2
McAfee, M.3
Irwin, G.W.4
-
14
-
-
84864297252
-
Local and global principal component analysis for process monitoring
-
J. Yu Local and global principal component analysis for process monitoring Journal of Process Control 22 2012 1358 1373
-
(2012)
Journal of Process Control
, vol.22
, pp. 1358-1373
-
-
Yu, J.1
-
15
-
-
77957355948
-
Statistical analysis and online monitoring for multimode process with between-mode transitions
-
C.H. Zhao, Y. Yao, F.R. Gao, and F.L. Wang Statistical analysis and online monitoring for multimode process with between-mode transitions Chemical Engineering Science 65 2010 5961 5975
-
(2010)
Chemical Engineering Science
, vol.65
, pp. 5961-5975
-
-
Zhao, C.H.1
Yao, Y.2
Gao, F.R.3
Wang, F.L.4
-
16
-
-
0032686509
-
Real-time monitoring for a process with multiple operating modes
-
D.H. Hwang, and C.H. Han Real-time monitoring for a process with multiple operating modes Control Engineering Practice 7 1999 891 902
-
(1999)
Control Engineering Practice
, vol.7
, pp. 891-902
-
-
Hwang, D.H.1
Han, C.H.2
-
17
-
-
0035255106
-
Performance monitoring of a multi-product semi-batch process
-
DOI 10.1016/S0959-1524(99)00063-3
-
S. Lane, E.B. Martin, R. Kooijmans, and A.J. Morris Performance monitoring of a multi-product semi-batch process Journal of Process Control 11 2001 1 11 (Pubitemid 32020432)
-
(2001)
Journal of Process Control
, vol.11
, Issue.1
, pp. 1-11
-
-
Lane, S.1
Martin, E.B.2
Kooijmans, R.3
Morris, A.J.4
-
20
-
-
6344249065
-
Monitoring of processes with multiple operating modes through multiple principle component analysis models
-
S.J. Zhao, J. Zhang, and Y.M. Xu Monitoring of processes with multiple operating modes through multiple principal component analysis models Industrial and Engineering Chemistry Research 43 2004 7025 7035 (Pubitemid 39403289)
-
(2004)
Industrial and Engineering Chemistry Research
, vol.43
, Issue.22
, pp. 7025-7035
-
-
Zhao, S.J.1
Zhang, J.2
Xu, Y.M.3
-
22
-
-
47549099484
-
Multimode process monitoring with bayesian inference-based finite Gaussian mixture models
-
DOI 10.1002/aic.11515
-
J. Yu Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models AIChE Journal 54 2008 1811 1829 (Pubitemid 352006869)
-
(2008)
AIChE Journal
, vol.54
, Issue.7
, pp. 1811-1829
-
-
Yu, J.1
Qin, S.J.2
-
23
-
-
78650358993
-
Mixture Bayesian regularization method of PPCA for multimode process monitoring
-
Z.Q. Ge, and Z.H. Song Mixture Bayesian regularization method of PPCA for multimode process monitoring AIChE Journal 56 2010 2838 2849
-
(2010)
AIChE Journal
, vol.56
, pp. 2838-2849
-
-
Ge, Z.Q.1
Song, Z.H.2
-
24
-
-
84859911625
-
Dynamic multimode process modeling and monitoring using adaptive Gaussian mixture models
-
X. Xie, and H.B. Shi Dynamic multimode process modeling and monitoring using adaptive Gaussian mixture models Industrial and Engineering Chemistry Research 51 2012 5497 5505
-
(2012)
Industrial and Engineering Chemistry Research
, vol.51
, pp. 5497-5505
-
-
Xie, X.1
Shi, H.B.2
-
25
-
-
75149115338
-
Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring
-
J. Yu Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring Journal of Process Control 20 2010 344 359
-
(2010)
Journal of Process Control
, vol.20
, pp. 344-359
-
-
Yu, J.1
-
26
-
-
84859903438
-
Hidden Markov model based adaptive independent component analysis approach for complex chemical process monitoring and fault detection
-
M.M. Rashid, and J. Yu Hidden Markov model based adaptive independent component analysis approach for complex chemical process monitoring and fault detection Industrial and Engineering Chemistry Research 51 2012 5506 5514
-
(2012)
Industrial and Engineering Chemistry Research
, vol.51
, pp. 5506-5514
-
-
Rashid, M.M.1
Yu, J.2
-
27
-
-
84868210616
-
A novel local neighborhood standardization strategy and its application in fault detection of multimode process
-
H.H. Ma, Y. Hu, and H.B. Shi A novel local neighborhood standardization strategy and its application in fault detection of multimode process Chemometrics and Intelligent Laboratory Systems 118 2012 287 300
-
(2012)
Chemometrics and Intelligent Laboratory Systems
, vol.118
, pp. 287-300
-
-
Ma, H.H.1
Hu, Y.2
Shi, H.B.3
-
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 2004 2801 2810 (Pubitemid 38763544)
-
(2004)
Chemical Engineering Science
, vol.59
, Issue.13
, pp. 2801-2810
-
-
Cheng, C.1
Chiu, M.-S.2
-
29
-
-
29344470519
-
A cluster aggregation scheme for ozone episode selection in the San Francisco, CA Bay Area
-
DOI 10.1016/j.atmosenv.2005.10.003, PII S1352231005009635
-
S. Beaver, and A. Palazoglu A cluster aggregation scheme for ozone episode selection in the San Francisco, CA Bay area Atmospheric Environment 40 2006 713 725 (Pubitemid 43003609)
-
(2006)
Atmospheric Environment
, vol.40
, Issue.4
, pp. 713-725
-
-
Beaver, S.1
Palazolu, A.2
-
30
-
-
30344483178
-
Document clustering using locality preserving indexing
-
DOI 10.1109/TKDE.2005.198
-
D. Cai, X. He, and J. Han Document clustering using locality preserving indexing IEEE transactions on Knowledge and Data Engineering 17 2005 1624 1637 (Pubitemid 43060413)
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.12
, pp. 1624-1637
-
-
Cai, D.1
He, X.2
Han, J.3
-
35
-
-
70350130556
-
Rough-DBSCAN: A fast hybrid density based clustering method for large data sets
-
P. Viswanath, and V.S. Babu Rough-DBSCAN: a fast hybrid density based clustering method for large data sets Pattern Recognition Letters 30 2009 1477 1488
-
(2009)
Pattern Recognition Letters
, vol.30
, pp. 1477-1488
-
-
Viswanath, P.1
Babu, V.S.2
-
36
-
-
0028483476
-
Monitoring batch processes using multiway principal component analysis
-
P. Nomikos, and J.F. MacGregor Monitoring batch processes using multiway principal component analysis AIChE Journal 40 1994 1361 1375
-
(1994)
AIChE Journal
, vol.40
, pp. 1361-1375
-
-
Nomikos, P.1
Macgregor, J.F.2
-
37
-
-
0029252734
-
Multivariate SPC charts for monitoring batch processes
-
P. Nomikos, and J.F. MacGregor Multivariate SPC charts for monitoring batch processes Technometrics 37 1995 41 59
-
(1995)
Technometrics
, vol.37
, pp. 41-59
-
-
Nomikos, P.1
Macgregor, J.F.2
-
38
-
-
0035802262
-
Reconstruction-based fault identification using a combined index
-
H.H. Yue, and S.J. Qin Reconstruction-based fault identification using a combined index Industrial and Engineering Chemistry Research 40 2001 4403 4414 (Pubitemid 33009817)
-
(2001)
Industrial and Engineering Chemistry Research
, vol.40
, Issue.20
, pp. 4403-4414
-
-
Yue, H.H.1
Qin, S.J.2
-
40
-
-
0030217795
-
Decentralized control of the Tennessee Eastman Challenge Process
-
DOI 10.1016/0959-1524(96)00031-5
-
N.L. Ricker Decentralized control of Tennessee Eastman challenge process Journal of Process Control 6 1996 205 221 (Pubitemid 126358692)
-
(1996)
Journal of Process Control
, vol.6
, Issue.4
, pp. 205-221
-
-
Ricker, N.L.1
-
42
-
-
0029379330
-
Optimal steady-state operation of the Tennessee Eastman challenge process
-
N.L. Ricker Optimal steady-state operation of the Tennessee Eastman challenge process Computers and Chemical Engineering 19 1995 949 959
-
(1995)
Computers and Chemical Engineering
, vol.19
, pp. 949-959
-
-
Ricker, N.L.1
|