-
2
-
-
0037443803
-
A Review of Process Fault Detection and Diagnosis: Part III: Process History Based Methods
-
Venkatasubramanian, V.; Rengaswamy, R.; Kavuri, S. N.; Yin, K. A Review of Process Fault Detection and Diagnosis: Part III: Process History Based Methods Comput. Chem. Eng. 2003, 27, 327-346
-
(2003)
Comput. Chem. Eng.
, vol.27
, pp. 327-346
-
-
Venkatasubramanian, V.1
Rengaswamy, R.2
Kavuri, S.N.3
Yin, K.4
-
3
-
-
0037443770
-
A Review of Process Fault Detection and Diagnosis: Part I: Quantitative Model-Based Methods
-
Venkatasubramanian, V.; Rengaswamy, R.; Kavuri, S. N.; Yin, K. A Review of Process Fault Detection and Diagnosis: Part I: Quantitative Model-Based Methods Comput. Chem. Eng. 2003, 27, 293-311
-
(2003)
Comput. Chem. Eng.
, vol.27
, pp. 293-311
-
-
Venkatasubramanian, V.1
Rengaswamy, R.2
Kavuri, S.N.3
Yin, K.4
-
4
-
-
0037443771
-
A Review of Process Fault Detection and Diagnosis: Part II: Qualitative Models and Search Strategies
-
Venkatasubramanian, V.; Rengaswamy, R.; Kavuri, S. N.; Yin, K. A Review of Process Fault Detection and Diagnosis: Part II: Qualitative Models and Search Strategies Comput. Chem. Eng. 2003, 27, 313-326
-
(2003)
Comput. Chem. Eng.
, vol.27
, pp. 313-326
-
-
Venkatasubramanian, V.1
Rengaswamy, R.2
Kavuri, S.N.3
Yin, K.4
-
6
-
-
0032775020
-
Improved PCA Methods for Process Disturbance and Failure identification
-
Wachs, A.; Lewin, D. R. Improved PCA Methods for Process Disturbance and Failure identification AIChE J. 1999, 45, 1688-1700
-
(1999)
AIChE J.
, vol.45
, pp. 1688-1700
-
-
Wachs, A.1
Lewin, D.R.2
-
7
-
-
14644427213
-
A New Fault Diagnosis Method Using Fault Directions in Fisher Discriminant Analysis
-
He, Q. P.; Qin, S.; Wang, J. A New Fault Diagnosis Method Using Fault Directions in Fisher Discriminant Analysis AIChE J. 2006, 51, 555-571
-
(2006)
AIChE J.
, vol.51
, pp. 555-571
-
-
He, Q.P.1
Qin, S.2
Wang, J.3
-
8
-
-
0018503842
-
Control Procedures for Residuals Associated with Principal Component Analysis
-
Jackson, J. E.; Mudholkar, G. Control Procedures for Residuals Associated with Principal Component Analysis J. Process Control 1979, 21, 341-349
-
(1979)
J. Process Control
, vol.21
, pp. 341-349
-
-
Jackson, J.E.1
Mudholkar, G.2
-
10
-
-
18844397336
-
Application of Latent Variable Methods to Process Control and Multivariate Statistical Process Control in Industry
-
Kourti, T. Application of Latent Variable Methods to Process Control and Multivariate Statistical Process Control in Industry Int. J. Adapt. Control Signal Process. 2005, 19, 213-246
-
(2005)
Int. J. Adapt. Control Signal Process.
, vol.19
, pp. 213-246
-
-
Kourti, T.1
-
11
-
-
0028354319
-
Exponentially Weighted Moving Principal Component Analysis and Projection to Latent Structures
-
Wold, S. Exponentially Weighted Moving Principal Component Analysis and Projection to Latent Structures Chemom. Intell. Lab. Syst. 1994, 23, 149-161
-
(1994)
Chemom. Intell. Lab. Syst.
, vol.23
, pp. 149-161
-
-
Wold, S.1
-
12
-
-
0034301495
-
Recursive PCA for Adaptive Process Monitoring
-
Li, W.; Yue, H.; Valle-Cervantes, S.; Qin, S. Recursive PCA for Adaptive Process Monitoring J. Process Control 2000, 10, 471-486
-
(2000)
J. Process Control
, vol.10
, pp. 471-486
-
-
Li, W.1
Yue, H.2
Valle-Cervantes, S.3
Qin, S.4
-
13
-
-
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
-
14
-
-
31544440191
-
Robust Recursive Principal Component Analysis Modeling for Adaptive Monitoring
-
Jin, H.; Lee, Y.-H.; Lee, G.; Han, C. Robust Recursive Principal Component Analysis Modeling for Adaptive Monitoring Ind. Eng. Chem. Res. 2006, 45, 696-703
-
(2006)
Ind. Eng. Chem. Res.
, vol.45
, pp. 696-703
-
-
Jin, H.1
Lee, Y.-H.2
Lee, G.3
Han, C.4
-
15
-
-
33646536772
-
Adaptive Multivariate Statistical Process Control for Monitoring Time-Varying Processes
-
Choi, S. W.; Martin, E. B.; Morris, A. J.; Lee, I.-B. Adaptive Multivariate Statistical Process Control for Monitoring Time-Varying Processes Ind. Eng. Chem. Res. 2006, 45, 3108-3118
-
(2006)
Ind. Eng. Chem. Res.
, vol.45
, pp. 3108-3118
-
-
Choi, S.W.1
Martin, E.B.2
Morris, A.J.3
Lee, I.-B.4
-
16
-
-
38849098368
-
Variable MWPCA for Adaptive Process Monitoring
-
He, X. B.; Yang, Y. P. Variable MWPCA for Adaptive Process Monitoring Ind. Eng. Chem. Res. 2008, 47, 419-427
-
(2008)
Ind. Eng. Chem. Res.
, vol.47
, pp. 419-427
-
-
He, X.B.1
Yang, Y.P.2
-
17
-
-
77955513371
-
Recursive Identification Algorithm for Parity Space Based Fault Detection Systems
-
Naik, A. S.; Yin, S.; Ding, S. X. Recursive Identification Algorithm for Parity Space Based Fault Detection Systems J. Process Control 2010, 20, 957-965
-
(2010)
J. Process Control
, vol.20
, pp. 957-965
-
-
Naik, A.S.1
Yin, S.2
Ding, S.X.3
-
18
-
-
79960921309
-
Adaptive Process Monitoring Based on Parity Space Methods
-
Presented at the, Barcelona, Spain, Jun 30-Jul 3
-
Yin, S.; Naik, A. S.; Ding, S. X. Adaptive Process Monitoring Based on Parity Space Methods. Presented at the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess '09), Barcelona, Spain, Jun 30-Jul 3, 2009.
-
(2009)
7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess '09)
-
-
Yin, S.1
Naik, A.S.2
Ding, S.X.3
-
19
-
-
64249101035
-
Moving Window Kernel PCA for Adaptive Monitoring of Nonlinear Processes
-
Liu, X.; Kruger, U.; Littler, T.; Xie, L.; Wang, S. Moving Window Kernel PCA for Adaptive Monitoring of Nonlinear Processes Chemom. Intell. Lab. Syst. 2009, 96, 132-143
-
(2009)
Chemom. Intell. Lab. Syst.
, vol.96
, pp. 132-143
-
-
Liu, X.1
Kruger, U.2
Littler, T.3
Xie, L.4
Wang, S.5
-
20
-
-
74249108882
-
Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring
-
Elshenawy, L. M.; Yin, S; Naik, A.; Ding, S. Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring Ind. Eng. Chem. Res. 2010, 49, 252-259
-
(2010)
Ind. Eng. Chem. Res.
, vol.49
, pp. 252-259
-
-
Elshenawy, L.M.1
Yin, S.2
Naik, A.3
Ding, S.4
-
21
-
-
0028516278
-
Adaptive Eigendecomposition of Data Covariance Matrices Based on First-Order Perturbations
-
Champagne, B. Adaptive Eigendecomposition of Data Covariance Matrices Based on First-Order Perturbations IEEE Trans. Signal Process. 1994, 42, 2758-2770
-
(1994)
IEEE Trans. Signal Process.
, vol.42
, pp. 2758-2770
-
-
Champagne, B.1
-
22
-
-
39649107123
-
Efficient Adaptive SVD Algorithm for MIMO Applications
-
Willink, T. Efficient Adaptive SVD Algorithm for MIMO Applications IEEE Trans. Signal Process. 2008, 56, 615-622
-
(2008)
IEEE Trans. Signal Process.
, vol.56
, pp. 615-622
-
-
Willink, T.1
-
24
-
-
79960922249
-
Unified Analysis of Diagnosis Methods for Process Monitoring
-
Elsevier Science Ltd. Amsterdam, The Netherlands
-
Alcala, C. F.; Qin, S. Unified Analysis of Diagnosis Methods for Process Monitoring. In Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess '09); Elsevier Science Ltd.: Amsterdam, The Netherlands, 2009; pp 1007-1012.
-
(2009)
Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess '09)
, pp. 1007-1012
-
-
Alcala, C.F.1
Qin, S.2
-
25
-
-
0003198394
-
Contribution Plots: The Missing Link in Multivariate Quality Control
-
Presented at the, Rochester, NY, Oct
-
Miller, P.; Swanson, R.; Heckler, C. Contribution Plots: The Missing Link in Multivariate Quality Control. Presented at the 37th Annual ASQC-ASA Fall Technical Conference, Rochester, NY, Oct 1993.
-
(1993)
37th Annual ASQC-ASA Fall Technical Conference
-
-
Miller, P.1
Swanson, R.2
Heckler, C.3
-
26
-
-
0003479080
-
-
Eigenvector Research, Inc. Wenatchee, WA
-
Wise, B. M.; Gallagher, N. B.; Bro, R.; Shaver, J. M.; Winding, W.; Koch, R. S. PLS Toolbox User Manual; Eigenvector Research, Inc.: Wenatchee, WA, 2006.
-
(2006)
PLS Toolbox User Manual
-
-
Wise, B.M.1
Gallagher, N.B.2
Bro, R.3
Shaver, J.M.4
Winding, W.5
Koch, R.S.6
-
28
-
-
0032144398
-
Subspace Approach to Multidimensional Fault Identification and Reconstruction
-
Dunia, R.; Qin, S. J. Subspace Approach to Multidimensional Fault Identification and Reconstruction AIChE J. 1998, 44, 1813-1831
-
(1998)
AIChE J.
, vol.44
, pp. 1813-1831
-
-
Dunia, R.1
Qin, S.J.2
-
29
-
-
0035802262
-
Reconstruction-Based Fault Identification Using a Combined Index
-
Yue, H.; Qin, S. Reconstruction-Based Fault Identification Using a Combined Index Ind. Eng. Chem. Res. 2001, 40, 4403-4414
-
(2001)
Ind. Eng. Chem. Res.
, vol.40
, pp. 4403-4414
-
-
Yue, H.1
Qin, S.2
-
30
-
-
0242354134
-
Statistical Process Monitoring: Basics and beyond
-
Qin, S. J. Statistical Process Monitoring: Basics and Beyond J. Chemom. 2003, 17, 480-502
-
(2003)
J. Chemom.
, vol.17
, pp. 480-502
-
-
Qin, S.J.1
-
31
-
-
33645880467
-
Improved Diagnosis of Abnormal Process Behavior Using Multivariate Statistics
-
Lieftucht, D.; Kruger, U.; Irwin, G. Improved Diagnosis of Abnormal Process Behavior Using Multivariate Statistics Comput. Chem. Eng. 2006, 30, 901-912
-
(2006)
Comput. Chem. Eng.
, vol.30
, pp. 901-912
-
-
Lieftucht, D.1
Kruger, U.2
Irwin, G.3
-
32
-
-
33646880068
-
Fault Reconstruction in Linear Dynamic Systems Using Multivariate Statistics
-
Lieftucht, D.; Kruger, U.; Irwin, G.; Treasure, J. Fault Reconstruction in Linear Dynamic Systems Using Multivariate Statistics IEE Proc.: Control Theory Appl. 2006, 153, 437-446
-
(2006)
IEE Proc.: Control Theory Appl.
, vol.153
, pp. 437-446
-
-
Lieftucht, D.1
Kruger, U.2
Irwin, G.3
Treasure, J.4
-
33
-
-
60249085725
-
Improved Fault Diagnosis in Multivariate Systems Using Regression-Based Reconstruction
-
Lieftucht, D.; Völker, M.; Kruger, C. S. U.; Irwin, G.; Engell, S. Improved Fault Diagnosis in Multivariate Systems Using Regression-Based Reconstruction Control Eng. Pract. 2009, 17, 478-493
-
(2009)
Control Eng. Pract.
, vol.17
, pp. 478-493
-
-
Lieftucht, D.1
Völker, M.2
Kruger, C.S.U.3
Irwin, G.4
Engell, S.5
-
34
-
-
84862788679
-
Fault Diagnosis of Continuous Annealing Processes Using a Reconstruction-Based Method
-
Liu, Q.; Chai, T.; Qin, S. J. Fault Diagnosis of Continuous Annealing Processes Using a Reconstruction-Based Method Control Eng. Pract. 2012, 20, 511-518
-
(2012)
Control Eng. Pract.
, vol.20
, pp. 511-518
-
-
Liu, Q.1
Chai, T.2
Qin, S.J.3
-
35
-
-
0030127409
-
Statistical Process Monitoring and Disturbance Diagnosis in Multivariate Continuous Processes
-
Raich, A.; Cinar, A. Statistical Process Monitoring and Disturbance Diagnosis in Multivariate Continuous Processes AIChE J. 1996, 42, 995-1009
-
(1996)
AIChE J.
, vol.42
, pp. 995-1009
-
-
Raich, A.1
Cinar, A.2
-
36
-
-
0035427805
-
Fault Diagnosis with Multivariate Statistical Models Part I: Using Steady State Fault Signatures
-
Yoon, S.; MacGregor, J. F. Fault Diagnosis with Multivariate Statistical Models Part I: Using Steady State Fault Signatures J. Process Control 2001, 11, 387-400
-
(2001)
J. Process Control
, vol.11
, pp. 387-400
-
-
Yoon, S.1
MacGregor, J.F.2
-
37
-
-
0036628052
-
Statistical Process Monitoring Based on Dissimilarity of Process Data
-
Kano, M.; Hasebe, S.; Hashimoto, I.; Ohno, H. Statistical Process Monitoring Based on Dissimilarity of Process Data AIChE J. 2002, 48, 1231-1240
-
(2002)
AIChE J.
, vol.48
, pp. 1231-1240
-
-
Kano, M.1
Hasebe, S.2
Hashimoto, I.3
Ohno, H.4
-
38
-
-
0037036779
-
Pattern Matching in Multivariate Time Series Databases Using a Moving-Window Approach
-
Singhal, A.; Seborg, D. Pattern Matching in Multivariate Time Series Databases Using a Moving-Window Approach Ind. Eng. Chem. Res. 2002, 41, 3822-3838
-
(2002)
Ind. Eng. Chem. Res.
, vol.41
, pp. 3822-3838
-
-
Singhal, A.1
Seborg, D.2
-
39
-
-
33645389475
-
Evaluation of a Pattern Matching Method for the Tennessee Eastman Challenge Process
-
Singhal, A.; Seborg, D. Evaluation of a Pattern Matching Method for the Tennessee Eastman Challenge Process J. Process Control 2006, 16, 601-613
-
(2006)
J. Process Control
, vol.16
, pp. 601-613
-
-
Singhal, A.1
Seborg, D.2
-
40
-
-
0033083952
-
Isolation Enhanced Principal Component Analysis
-
Gertler, J.; Li, W.; Huang, Y.; 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.2
Huang, Y.3
McAvoy, T.4
-
41
-
-
0001212550
-
Detection and Identification of Faulty Sensors in Dynamic Processes
-
Qin, S. J.; Li, W. Detection and Identification of Faulty Sensors in Dynamic Processes AIChE J. 2001, 47, 1581-1593
-
(2001)
AIChE J.
, vol.47
, pp. 1581-1593
-
-
Qin, S.J.1
Li, W.2
-
42
-
-
84860416807
-
A Multi-level Approach for Complex Fault Isolation Based on Structured Residuals
-
Lubin, Y.; Xiangrong, S.; Jun, L. A Multi-level Approach for Complex Fault Isolation Based on Structured Residuals Chin. J. Chem. Eng. 2011, 19, 462-472
-
(2011)
Chin. J. Chem. Eng.
, vol.19
, pp. 462-472
-
-
Lubin, Y.1
Xiangrong, S.2
Jun, L.3
-
43
-
-
80051697507
-
Fault Detection, Identification and Diagnosis Using CUSUM Based PCA
-
Shams, M. B.; Budman, H.; Duever, T. Fault Detection, Identification and Diagnosis Using CUSUM Based PCA Chem. Eng. Sci. 2011, 66, 4488-4498
-
(2011)
Chem. Eng. Sci.
, vol.66
, pp. 4488-4498
-
-
Shams, M.B.1
Budman, H.2
Duever, T.3
-
44
-
-
22944436794
-
Process Monitoring Approach Using Fast Moving Window PCA
-
Wang, X.; Kruger, U.; Irwin, G. 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
Irwin, G.3
-
45
-
-
0004236492
-
-
3 rd ed. The Johns Hopkins University Press: Baltimore, MD
-
Golub, G.; Van Loan, C. F. Matrix Computations, 3 rd ed.; The Johns Hopkins University Press: Baltimore, MD, 1996.
-
(1996)
Matrix Computations
-
-
Golub, G.1
Van Loan, C.F.2
-
46
-
-
0028576704
-
Determination of the Number of Principal Components for Disturbance Detection and Isolation
-
IEEE Press: Piscataway, NJ, Vol
-
Himes, D.; Storer, R.; Georgakis, C. Determination of the Number of Principal Components for Disturbance Detection and Isolation. In Proceedings of the American Control Conference; IEEE Press: Piscataway, NJ, 1994; Vol. 3, pp 1279-1283.
-
(1994)
Proceedings of the American Control Conference
, vol.3
, pp. 1279-1283
-
-
Himes, D.1
Storer, R.2
Georgakis, C.3
-
47
-
-
0033230994
-
Selection of the Number of Principal Components: The Variance of the Reconstruction Error Criterion with a Comparison to other Methods
-
Valle, S.; Li, W.; Qin, S. Selection of the Number of Principal Components: The Variance of the Reconstruction Error Criterion with a Comparison to other Methods Ind. Eng. Chem. Res. 1999, 38, 4389-4401
-
(1999)
Ind. Eng. Chem. Res.
, vol.38
, pp. 4389-4401
-
-
Valle, S.1
Li, W.2
Qin, S.3
-
48
-
-
0029252734
-
Multivariate SPC Charts for Monitoring Batch Process
-
Nomikos, P.; MacGregor, J. F. Multivariate SPC Charts for Monitoring Batch Process Technometrics 1995, 37, 41-59
-
(1995)
Technometrics
, vol.37
, pp. 41-59
-
-
Nomikos, P.1
MacGregor, J.F.2
-
49
-
-
0033198809
-
Detection, Identification, and Reconstruction of Faulty Sensors with Maximized Sensitivity
-
Qin, S. J.; Li, W. Detection, Identification, and Reconstruction of Faulty Sensors with Maximized Sensitivity AIChE J. 1999, 45, 1963-1976
-
(1999)
AIChE J.
, vol.45
, pp. 1963-1976
-
-
Qin, S.J.1
Li, W.2
|