-
1
-
-
2342505830
-
Fault diagnosis based on Fisher discriminant analysis and support vector machines
-
Chiang L.H., Kotanchek M.E., Kordon A.K. Fault diagnosis based on Fisher discriminant analysis and support vector machines. Comput. Chem. Eng. 2004, 28:1389-1401.
-
(2004)
Comput. Chem. Eng.
, vol.28
, pp. 1389-1401
-
-
Chiang, L.H.1
Kotanchek, M.E.2
Kordon, A.K.3
-
2
-
-
84869089680
-
Survey on data-driven industrial process monitoring and diagnosis
-
Qin S.J. Survey on data-driven industrial process monitoring and diagnosis. Annu. Rev. Control. 2012, 36:220-234.
-
(2012)
Annu. Rev. Control.
, vol.36
, pp. 220-234
-
-
Qin, S.J.1
-
4
-
-
0001606671
-
Contribution plots: a missing link in multivariate quality control
-
Miller P., Swanson R., Heckler C. Contribution plots: a missing link in multivariate quality control. Appl. Math. Comput. Sci. 1998, 8:775-792.
-
(1998)
Appl. Math. Comput. Sci.
, vol.8
, pp. 775-792
-
-
Miller, P.1
Swanson, R.2
Heckler, C.3
-
5
-
-
0034621628
-
Generalized contribution plots in multivariate statistical process monitoring
-
Westerhuis J., Gurden S., Smilde A. Generalized contribution plots in multivariate statistical process monitoring. Chemom. Intell. Lab. Syst. 2000, 51:95-114.
-
(2000)
Chemom. Intell. Lab. Syst.
, vol.51
, pp. 95-114
-
-
Westerhuis, J.1
Gurden, S.2
Smilde, A.3
-
6
-
-
84884928551
-
Analysis of smearing-out in contribution plot based fault isolation for statistical process control
-
Van den Kerkhof P., Vanlaer J., Gins G., Van Impe J.F.M. Analysis of smearing-out in contribution plot based fault isolation for statistical process control. Chem. Eng. Sci. 2013, 104:285-293.
-
(2013)
Chem. Eng. Sci.
, vol.104
, pp. 285-293
-
-
Van den Kerkhof, P.1
Vanlaer, J.2
Gins, G.3
Van Impe, J.F.M.4
-
7
-
-
84892996353
-
Bayesian filtering of the smearing effect: fault isolation in chemical process monitoring
-
Liu J., Wong D.S.H., Chen D.-S. Bayesian filtering of the smearing effect: fault isolation in chemical process monitoring. J. Process Control 2014, 24:1-21.
-
(2014)
J. Process Control
, vol.24
, pp. 1-21
-
-
Liu, J.1
Wong, D.S.H.2
Chen, D.-S.3
-
8
-
-
0032144398
-
Subspace approach to multidimensional fault identification and reconstruction
-
Dunia R., Qin S. 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.2
-
9
-
-
0035802262
-
Reconstruction-based fault identification using a combined index
-
Yue H.H., Qin S.J. 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.H.1
Qin, S.J.2
-
10
-
-
67349245154
-
Reconstruction-based contribution for process monitoring
-
Alcala C.F., Qin S.J. Reconstruction-based contribution for process monitoring. Automatica 2009, 45:1593-1600.
-
(2009)
Automatica
, vol.45
, pp. 1593-1600
-
-
Alcala, C.F.1
Qin, S.J.2
-
11
-
-
78149280345
-
A branch and bound method for isolation of faulty variables through missing variable analysis
-
Kariwala V., Odiowei P.E., Cao Y., Chen T. A branch and bound method for isolation of faulty variables through missing variable analysis. J. Process Control 2010, 20:1198-1206.
-
(2010)
J. Process Control
, vol.20
, pp. 1198-1206
-
-
Kariwala, V.1
Odiowei, P.E.2
Cao, Y.3
Chen, T.4
-
12
-
-
84864301166
-
Reconstruction-based multivariate contribution analysis for fault isolation: a branch and bound approach
-
He B., Yang X., Chen T., Zhang J. Reconstruction-based multivariate contribution analysis for fault isolation: a branch and bound approach. J. Process Control 2012, 22:1228-1236.
-
(2012)
J. Process Control
, vol.22
, pp. 1228-1236
-
-
He, B.1
Yang, X.2
Chen, T.3
Zhang, J.4
-
13
-
-
0031192302
-
Fault diagnosis based on weighted symptom tree and pattern matching
-
Oh Y.S., Mo K.J., Yoon E.S., Yoon J.H. Fault diagnosis based on weighted symptom tree and pattern matching. Ind. Eng. Chem. Res. 1997, 36:2672-2678.
-
(1997)
Ind. Eng. Chem. Res.
, vol.36
, pp. 2672-2678
-
-
Oh, Y.S.1
Mo, K.J.2
Yoon, E.S.3
Yoon, J.H.4
-
14
-
-
1842509240
-
Fault detection and operation mode identification based on pattern classification with variable selection
-
Chu Y., Qin S., Han C. Fault detection and operation mode identification based on pattern classification with variable selection. Ind. Eng. Chem. Res. 2004, 43:1701-1710.
-
(2004)
Ind. Eng. Chem. Res.
, vol.43
, pp. 1701-1710
-
-
Chu, Y.1
Qin, S.2
Han, C.3
-
15
-
-
33644999955
-
Integration of principal component analysis and fuzzy logic systems for comprehensive process fault detection and diagnosis
-
Musulin E., Yélamos I., Puigjaner L. Integration of principal component analysis and fuzzy logic systems for comprehensive process fault detection and diagnosis. Ind. Eng. Chem. Res. 2006, 45:1739-1750.
-
(2006)
Ind. Eng. Chem. Res.
, vol.45
, pp. 1739-1750
-
-
Musulin, E.1
Yélamos, I.2
Puigjaner, L.3
-
16
-
-
84881418463
-
Mixture discriminant monitoring: a hybrid method for statistical process monitoring and fault diagnosis/isolation
-
Huang C.-C., Chen T., Yao Y. Mixture discriminant monitoring: a hybrid method for statistical process monitoring and fault diagnosis/isolation. Ind. Eng. Chem. Res. 2013, 52:10720-10731.
-
(2013)
Ind. Eng. Chem. Res.
, vol.52
, pp. 10720-10731
-
-
Huang, C.-C.1
Chen, T.2
Yao, Y.3
-
17
-
-
84896502634
-
Semi-supervised mixture discriminant monitoring for chemical batch processes
-
Yan Z., Huang C.-C., Yao Y. Semi-supervised mixture discriminant monitoring for chemical batch processes. Chemom. Intell. Lab. Syst. 2014, 134:10-22.
-
(2014)
Chemom. Intell. Lab. Syst.
, vol.134
, pp. 10-22
-
-
Yan, Z.1
Huang, C.-C.2
Yao, Y.3
-
18
-
-
84903315318
-
Sensitivity enhancing transformations for monitoring the process correlation structure
-
Rato T.J., Reis M.S. Sensitivity enhancing transformations for monitoring the process correlation structure. J. Process Control 2014, 24:905-915.
-
(2014)
J. Process Control
, vol.24
, pp. 905-915
-
-
Rato, T.J.1
Reis, M.S.2
-
20
-
-
33846085471
-
Finding the direction of disturbance propagation in a chemical process using transfer entropy
-
Bauer M., Cox J.W., Caveness M.H., Downs J.J., Thornhill N.F. Finding the direction of disturbance propagation in a chemical process using transfer entropy. IEEE Trans. Control Syst. Technol. 2007, 15:12-21.
-
(2007)
IEEE Trans. Control Syst. Technol.
, vol.15
, pp. 12-21
-
-
Bauer, M.1
Cox, J.W.2
Caveness, M.H.3
Downs, J.J.4
Thornhill, N.F.5
-
21
-
-
84879307272
-
A novel dynamic Bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis
-
Yu J., Rashid M.M. A novel dynamic Bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis. AICHE J. 2013, 59:2348-2365.
-
(2013)
AICHE J.
, vol.59
, pp. 2348-2365
-
-
Yu, J.1
Rashid, M.M.2
-
22
-
-
84940194751
-
On-line process monitoring using local measures of association. Part II: design issues and fault diagnosis
-
Rato T.J., Reis M.S. On-line process monitoring using local measures of association. Part II: design issues and fault diagnosis. Chemom. Intell. Lab. Syst. 2015, 142:265-275.
-
(2015)
Chemom. Intell. Lab. Syst.
, vol.142
, pp. 265-275
-
-
Rato, T.J.1
Reis, M.S.2
-
23
-
-
0037470096
-
Process monitoring using causal map and multivariate statistics: fault detection and identification
-
Chiang L.H., Braatz R.D. Process monitoring using causal map and multivariate statistics: fault detection and identification. Chemom. Intell. Lab. Syst. 2003, 65:159-178.
-
(2003)
Chemom. Intell. Lab. Syst.
, vol.65
, pp. 159-178
-
-
Chiang, L.H.1
Braatz, R.D.2
-
24
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B Methodol. 1996, 267-288.
-
(1996)
J. R. Stat. Soc. Ser. B Methodol.
, pp. 267-288
-
-
Tibshirani, R.1
-
25
-
-
74049132241
-
Multivariate statistical process control using LASSO
-
Zou C., Qiu P. Multivariate statistical process control using LASSO. J. Am. Stat. Assoc. 2009, 104:1586-1596.
-
(2009)
J. Am. Stat. Assoc.
, vol.104
, pp. 1586-1596
-
-
Zou, C.1
Qiu, P.2
-
26
-
-
84877660094
-
Multiway elastic net (MEN) for final product quality prediction and quality-related analysis of batch processes
-
Chiu C.-C., Yao Y. Multiway elastic net (MEN) for final product quality prediction and quality-related analysis of batch processes. Chemom. Intell. Lab. Syst. 2013, 125:153-165.
-
(2013)
Chemom. Intell. Lab. Syst.
, vol.125
, pp. 153-165
-
-
Chiu, C.-C.1
Yao, Y.2
-
27
-
-
84903766033
-
Regularization-based statistical batch process modeling for final product quality prediction
-
Yan Z., Chiu C.-C., Yao Y., Doing W. Regularization-based statistical batch process modeling for final product quality prediction. AICHE J. 2014, 60:2815-2827.
-
(2014)
AICHE J.
, vol.60
, pp. 2815-2827
-
-
Yan, Z.1
Chiu, C.-C.2
Yao, Y.3
Doing, W.4
-
28
-
-
84879017227
-
Penalized reconstruction-based multivariate contribution analysis for fault isolation
-
He B., Zhang J., Chen T., Yang X. Penalized reconstruction-based multivariate contribution analysis for fault isolation. Ind. Eng. Chem. Res. 2013, 52:7784-7794.
-
(2013)
Ind. Eng. Chem. Res.
, vol.52
, pp. 7784-7794
-
-
He, B.1
Zhang, J.2
Chen, T.3
Yang, X.4
-
29
-
-
3242708140
-
Least angle regression
-
Efron B., Hastie T., Johnstone I., Tibshirani R. Least angle regression. Ann. Stat. 2004, 32:407-451.
-
(2004)
Ann. Stat.
, vol.32
, pp. 407-451
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
30
-
-
0018503842
-
Control procedures for residuals associated with principal component analysis
-
Jackson J., Mudholkar G. Control procedures for residuals associated with principal component analysis. Technometrics 1979, 341-349.
-
(1979)
Technometrics
-
-
Jackson, J.1
Mudholkar, G.2
-
31
-
-
68249091064
-
High-dimensional process monitoring and fault isolation via variable selection
-
Wang K., Jiang W. High-dimensional process monitoring and fault isolation via variable selection. J. Qual. Technol. 2009, 41:247.
-
(2009)
J. Qual. Technol.
, vol.41
, pp. 247
-
-
Wang, K.1
Jiang, W.2
-
32
-
-
34548536008
-
On the "degrees of freedom" of the lasso
-
Zou H., Hastie T., Tibshirani R. On the "degrees of freedom" of the lasso. Ann. Stat. 2007, 35:2173-2192.
-
(2007)
Ann. Stat.
, vol.35
, pp. 2173-2192
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
-
33
-
-
0027561446
-
A plant-wide industrial process control problem
-
Downs J., Vogel E. A plant-wide industrial process control problem. Comput. Chem. Eng. 1993, 17:245-255.
-
(1993)
Comput. Chem. Eng.
, vol.17
, pp. 245-255
-
-
Downs, J.1
Vogel, E.2
-
34
-
-
9744237208
-
Multiple-fault diagnosis of the Tennessee Eastman process based on system decomposition and dynamic PLS
-
Lee G., Han C., Yoon E.S. Multiple-fault diagnosis of the Tennessee Eastman process based on system decomposition and dynamic PLS. Ind. Eng. Chem. Res. 2004, 43:8037-8048.
-
(2004)
Ind. Eng. Chem. Res.
, vol.43
, pp. 8037-8048
-
-
Lee, G.1
Han, C.2
Yoon, E.S.3
-
35
-
-
84894088611
-
Fault-relevant Principal Component Analysis (FPCA) method for multivariate statistical modeling and process monitoring
-
Zhao C., Gao F. Fault-relevant Principal Component Analysis (FPCA) method for multivariate statistical modeling and process monitoring. Chemom. Intell. Lab. Syst. 2014, 133:1-16.
-
(2014)
Chemom. Intell. Lab. Syst.
, vol.133
, pp. 1-16
-
-
Zhao, C.1
Gao, F.2
-
36
-
-
84868677902
-
Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS
-
Lau C.K., Ghosh K., Hussain M.A., Che Hassan C.R. Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS. Chemom. Intell. Lab. Syst. 2013, 120:1-14.
-
(2013)
Chemom. Intell. Lab. Syst.
, vol.120
, pp. 1-14
-
-
Lau, C.K.1
Ghosh, K.2
Hussain, M.A.3
Che Hassan, C.R.4
-
37
-
-
84924733661
-
Diagnosis of multiple and unknown faults using the causal map and multivariate statistics
-
Chiang L.H., Jiang B., Zhu X., Huang D., Braatz R.D. Diagnosis of multiple and unknown faults using the causal map and multivariate statistics. J. Process Control 2015, 28:27-39.
-
(2015)
J. Process Control
, vol.28
, pp. 27-39
-
-
Chiang, L.H.1
Jiang, B.2
Zhu, X.3
Huang, D.4
Braatz, R.D.5
-
38
-
-
84877316529
-
Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
-
Rato T.J., Reis M.S. Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR). Chemom. Intell. Lab. Syst. 2013, 125:101-108.
-
(2013)
Chemom. Intell. Lab. Syst.
, vol.125
, pp. 101-108
-
-
Rato, T.J.1
Reis, M.S.2
-
39
-
-
0034661131
-
Comparison of statistical process monitoring methods: application to the Eastman challenge problem
-
Kano M., Nagao K., Hasebe S., Hashimoto I., Ohno H., Strauss R., Bakshi B. Comparison of statistical process monitoring methods: application to the Eastman challenge problem. Comput. Chem. Eng. 2000, 24:175-181.
-
(2000)
Comput. Chem. Eng.
, vol.24
, pp. 175-181
-
-
Kano, M.1
Nagao, K.2
Hasebe, S.3
Hashimoto, I.4
Ohno, H.5
Strauss, R.6
Bakshi, B.7
-
40
-
-
84866069902
-
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
-
Yin S., Ding S.X., Haghani A., Hao H., Zhang P. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process. J. Process Control 2012, 22:1567-1581.
-
(2012)
J. Process Control
, vol.22
, pp. 1567-1581
-
-
Yin, S.1
Ding, S.X.2
Haghani, A.3
Hao, H.4
Zhang, P.5
-
41
-
-
0030217795
-
Decentralized control of the Tennessee Eastman challenge process
-
Ricker L. Decentralized control of the Tennessee Eastman challenge process. J. Process Control 1996, 6:205-221.
-
(1996)
J. Process Control
, vol.6
, pp. 205-221
-
-
Ricker, L.1
|