메뉴 건너뛰기




Volumn 85, Issue 4, 2007, Pages 526-536

Fault detection of non-linear processes using kernel independent component analysis

Author keywords

Fault detection, principal component analysis (PAC); Kernel independent component analysis (KICA); Non linear component analysis; Process monitoring

Indexed keywords

FAULT DETECTION; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; STATISTICAL PROCESS CONTROL;

EID: 34548593553     PISSN: 00084034     EISSN: None     Source Type: Journal    
DOI: 10.1002/cjce.5450850414     Document Type: Review
Times cited : (217)

References (36)
  • 1
    • 4944253785 scopus 로고    scopus 로고
    • Statistical Process Control Charts for Batch Operations Based on Independent Component Analysis
    • Albazzaz, H. and X. Z. Wang, "Statistical Process Control Charts for Batch Operations Based on Independent Component Analysis," Ind. Eng. Chem. Res. 43(21), 6731-6741 (2004).
    • (2004) Ind. Eng. Chem. Res , vol.43 , Issue.21 , pp. 6731-6741
    • Albazzaz, H.1    Wang, X.Z.2
  • 2
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with Application to Multivariate Statistical Process Monitoring
    • Bakshi, B. R., "Multiscale PCA with Application to Multivariate Statistical Process Monitoring," AIChE J. 44(7), 1596-1610 (1998).
    • (1998) AIChE J , vol.44 , Issue.7 , pp. 1596-1610
    • Bakshi, B.R.1
  • 3
    • 0011812771 scopus 로고    scopus 로고
    • Kernel Independent Component Analysis
    • Bach, F. R. and M. I. Jordan, "Kernel Independent Component Analysis," J. Machine Learning Res. 3, 1-48 (2002).
    • (2002) J. Machine Learning Res , vol.3 , pp. 1-48
    • Bach, F.R.1    Jordan, M.I.2
  • 5
    • 0043015539 scopus 로고    scopus 로고
    • Nonlinear Principal Component Analysis Based on Principal Curves and Neural Networks
    • Dong, D. and T. J. McAvoy, "Nonlinear Principal Component Analysis Based on Principal Curves and Neural Networks," Comput. Chem. Eng. 20(1), 65-78 (1996).
    • (1996) Comput. Chem. Eng , vol.20 , Issue.1 , pp. 65-78
    • Dong, D.1    McAvoy, T.J.2
  • 6
    • 0030269512 scopus 로고    scopus 로고
    • Identification of Faulty Sensors Using Principal Component Analysis
    • Dunia, R., S. J. Qin, T. F. Edgar and T. J. McAvoy, "Identification of Faulty Sensors Using Principal Component Analysis," AIChE J. 42(10), 277-2812 (1996).
    • (1996) AIChE J , vol.42 , Issue.10 , pp. 277-2812
    • Dunia, R.1    Qin, S.J.2    Edgar, T.F.3    McAvoy, T.J.4
  • 7
    • 0004063090 scopus 로고    scopus 로고
    • Prentice Hall International, Inc, New Jersey
    • Haykin, S., "Neural Networks," Prentice Hall International, Inc., New Jersey (1999).
    • (1999) Neural Networks
    • Haykin, S.1
  • 8
    • 0033611749 scopus 로고    scopus 로고
    • Nonlinear Principal Components Analysis Using Genetic Programming
    • Hiden, H. G., M. J. Willis, M. T. Tham and G. A. Montague, "Nonlinear Principal Components Analysis Using Genetic Programming," Comput. Chem. Eng. 23, 413-425 (1999).
    • (1999) Comput. Chem. Eng , vol.23 , pp. 413-425
    • Hiden, H.G.1    Willis, M.J.2    Tham, M.T.3    Montague, G.A.4
  • 9
    • 0032629347 scopus 로고    scopus 로고
    • Fast and Robust Fixed-Point Algorithms for Independent Component Analysis
    • Hyvärinen, A., "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis," IEEE Trans. Neural Networks 10, 626-634 (1999).
    • (1999) IEEE Trans. Neural Networks , vol.10 , pp. 626-634
    • Hyvärinen, A.1
  • 10
    • 0042826822 scopus 로고    scopus 로고
    • Independent Component Analysis: Algorithms and Applications
    • Hyvärinen, A. and E. Oja, "Independent Component Analysis: Algorithms and Applications," Neural Networks 13(4-5), 411-430 (2000).
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 12
    • 0037394190 scopus 로고    scopus 로고
    • Monitoring Independent Components for Fault Detection
    • Kano, M., S. Tanaka, S. Hasebe, I. Hashimoto and H. Ohno, "Monitoring Independent Components for Fault Detection," AIChE J. 49(4), 969-976 (2003).
    • (2003) AIChE J , vol.49 , Issue.4 , pp. 969-976
    • Kano, M.1    Tanaka, S.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5
  • 13
    • 1942468131 scopus 로고    scopus 로고
    • Evolution of Multivariate Statistical Process Control: Independent Component Analysis and External Analysis
    • Kano, M., S. Hasebe, I. Hashimoto and H. Ohno, "Evolution of Multivariate Statistical Process Control: Independent Component Analysis and External Analysis," Comput. Chem. Eng. 28(6-7), 1157-1166 (2004).
    • (2004) Comput. Chem. Eng , vol.28 , Issue.6-7 , pp. 1157-1166
    • Kano, M.1    Hasebe, S.2    Hashimoto, I.3    Ohno, H.4
  • 14
    • 84943249600 scopus 로고    scopus 로고
    • Fast Independent Component Analysis in Kernel Feature Spaces
    • L. Pacholski and P. Ruzicka, Eds, Nov. 24-Dec. 1, Springer Verlag
    • Kocsor, A. and J. Csirik, "Fast Independent Component Analysis in Kernel Feature Spaces," Proc. SOFSEM 2001, L. Pacholski and P. Ruzicka, Eds., Nov. 24-Dec. 1, Springer Verlag (2001), pp. 271-281.
    • (2001) Proc. SOFSEM , pp. 271-281
    • Kocsor, A.1    Csirik, J.2
  • 15
    • 3543105497 scopus 로고    scopus 로고
    • Kernel-Based Feature Extraction with a Speech Technology Application
    • Kocsor, A. and L. Tóth, "Kernel-Based Feature Extraction with a Speech Technology Application," IEEE Trans. Signal Process. 52(8), 2250-2263 (2004).
    • (2004) IEEE Trans. Signal Process , vol.52 , Issue.8 , pp. 2250-2263
    • Kocsor, A.1    Tóth, L.2
  • 16
    • 0026113980 scopus 로고
    • Nonlinear Principal Component Analysis Using Autoassociative Neural Networks
    • Kramer, M. A., "Nonlinear Principal Component Analysis Using Autoassociative Neural Networks," AIChE J. 37(2), 233-243 (1991).
    • (1991) AIChE J , vol.37 , Issue.2 , pp. 233-243
    • Kramer, M.A.1
  • 17
    • 0026108818 scopus 로고
    • Multivariate Statistical Monitoring of Process Operating Performance
    • Kresta, J., J. F. MacGregor and T. E. Marlin, "Multivariate Statistical Monitoring of Process Operating Performance," Can. J. Chem. Eng. 69, 35-47 (1991).
    • (1991) Can. J. Chem. Eng , vol.69 , pp. 35-47
    • Kresta, J.1    MacGregor, J.F.2    Marlin, T.E.3
  • 18
    • 0028892168 scopus 로고
    • Disturbance Detection and Isolation by Dynamic Principal Component Analysis
    • Ku, W., R. H. Storer and C. Georgakis, "Disturbance Detection and Isolation by Dynamic Principal Component Analysis," Chemometr. Intell. Lab. 30, 179-196 (1995).
    • (1995) Chemometr. Intell. Lab , vol.30 , pp. 179-196
    • Ku, W.1    Storer, R.H.2    Georgakis, C.3
  • 19
    • 0042123781 scopus 로고    scopus 로고
    • New Monitoring Technique with ICA Algorithm in Wastewater Treatment Process
    • Lee, J.-M., C. K. Yoo and I.-B. Lee, "New Monitoring Technique with ICA Algorithm in Wastewater Treatment Process," Water Sci. Technol. 47(12), 49-56 (2003).
    • (2003) Water Sci. Technol , vol.47 , Issue.12 , pp. 49-56
    • Lee, J.-M.1    Yoo, C.K.2    Lee, I.-B.3
  • 20
    • 0346911568 scopus 로고    scopus 로고
    • Nonlinear Process Monitoring Using Kernel Principal Component Analysis
    • Lee, J.-M., C. K. Yoo, S. W. Choi, P. A. Vanrolleghem and I.-B. Lee, "Nonlinear Process Monitoring Using Kernel Principal Component Analysis," Chem. Eng. Sci. 59, 223-234 (2004a).
    • (2004) Chem. Eng. Sci , vol.59 , pp. 223-234
    • Lee, J.-M.1    Yoo, C.K.2    Choi, S.W.3    Vanrolleghem, P.A.4    Lee, I.-B.5
  • 21
    • 1342285571 scopus 로고    scopus 로고
    • Statistical Process Monitoring with Independent Component Analysis
    • Lee, J.-M., C. K. Yoo and I.-B. Lee, "Statistical Process Monitoring with Independent Component Analysis," J. Process Contr. 14, 467-485 (2004b).
    • (2004) J. Process Contr , vol.14 , pp. 467-485
    • Lee, J.-M.1    Yoo, C.K.2    Lee, I.-B.3
  • 22
    • 2442495227 scopus 로고    scopus 로고
    • Fault Detection of Batch Processes Using Multiway Kernel Principal Component Analysis
    • Lee, J.-M., C. K. Yoo and I.-B. Lee, "Fault Detection of Batch Processes Using Multiway Kernel Principal Component Analysis," Comput. Chem. Eng. 28, 1837-1847 (2004c).
    • (2004) Comput. Chem. Eng , vol.28 , pp. 1837-1847
    • Lee, J.-M.1    Yoo, C.K.2    Lee, I.-B.3
  • 23
    • 33749473097 scopus 로고    scopus 로고
    • Fault Detection and Diagnosis of Multivariate Process Based on Modified Independent Component Analysis
    • Lee, J.-M., S. J. Qin and I.-B. Lee, "Fault Detection and Diagnosis of Multivariate Process Based on Modified Independent Component Analysis," AIChE J. 52(10), 3501-3514 (2006).
    • (2006) AIChE J , vol.52 , Issue.10 , pp. 3501-3514
    • Lee, J.-M.1    Qin, S.J.2    Lee, I.-B.3
  • 24
    • 0034301495 scopus 로고    scopus 로고
    • Recursive PCA for Adaptive Process Monitoring
    • Li, W., H. H. Yue, S. V. Cervantes and S. J. Qin, "Recursive PCA for Adaptive Process Monitoring," J. Process Contr. 10, 471-486 (2000).
    • (2000) J. Process Contr , vol.10 , pp. 471-486
    • Li, W.1    Yue, H.H.2    Cervantes, S.V.3    Qin, S.J.4
  • 25
    • 0030525683 scopus 로고    scopus 로고
    • Non-Parametric Confidence Bounds for Process Performance Monitoring Charts
    • Martin, E. B. and A. J. Morris, "Non-Parametric Confidence Bounds for Process Performance Monitoring Charts," J. Process Contr. 6(6), 349-358 (1996).
    • (1996) J. Process Contr , vol.6 , Issue.6 , pp. 349-358
    • Martin, E.B.1    Morris, A.J.2
  • 27
    • 0029252734 scopus 로고
    • Multivariate SPC Charts for Monitoring Batch Processes
    • Nomikos, P. and J. F. MacGregor, "Multivariate SPC Charts for Monitoring Batch Processes," Technometrics 37, 41-59 (1995).
    • (1995) Technometrics , vol.37 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 28
    • 0242354134 scopus 로고    scopus 로고
    • Statistical Process Monitoring: Basics and Beyond
    • Qin, S. J., "Statistical Process Monitoring: Basics and Beyond," J. Chemomtr. 17, 480-502 (2003).
    • (2003) J. Chemomtr , vol.17 , pp. 480-502
    • Qin, S.J.1
  • 29
    • 0001452843 scopus 로고    scopus 로고
    • A Multi-View Nonlinear Active Shape Model Using Kernel PCA
    • Nottingham, UK
    • Romdhani, S., S. Gong and A. Psarrou, "A Multi-View Nonlinear Active Shape Model Using Kernel PCA," Proc. British Machine Vision Conf., Nottingham, UK, 483-492 (1999).
    • (1999) Proc. British Machine Vision Conf , pp. 483-492
    • Romdhani, S.1    Gong, S.2    Psarrou, A.3
  • 30
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear Component Analysis as a Kernel eigenvalue Problem
    • Schölkopf, B., A. J. Smola and K. Müller, "Nonlinear Component Analysis as a Kernel eigenvalue Problem," Neural Computation, 10(5), 1299-1399 (1998).
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1399
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.3
  • 32
    • 0029322882 scopus 로고
    • Reducing Data Dimensionality through Optimizing Neural-Network Inputs
    • Tan, S. and M. L. Mavrovouniotis, "Reducing Data Dimensionality through Optimizing Neural-Network Inputs," AIChE J. 41(6), 1471-1480 (1995).
    • (1995) AIChE J , vol.41 , Issue.6 , pp. 1471-1480
    • Tan, S.1    Mavrovouniotis, M.L.2
  • 33
    • 0033404122 scopus 로고    scopus 로고
    • Monitoring a PVC Batch Process with Multivariate Statistical Process Control Charts
    • Tates, A. A., D. J. Louwerse, A. K. Smilde, G. L. M. Koot and H. Berndt, "Monitoring a PVC Batch Process with Multivariate Statistical Process Control Charts," Ind. Eng. Chem. Res. 38, 4769-4776 (1999).
    • (1999) Ind. Eng. Chem. Res , vol.38 , pp. 4769-4776
    • Tates, A.A.1    Louwerse, D.J.2    Smilde, A.K.3    Koot, G.L.M.4    Berndt, H.5
  • 34
    • 0030530039 scopus 로고    scopus 로고
    • The Process Chemometrics Approach to Process Monitoring and Fault Detection
    • Wise, B. M. and N. B. Gallagher, "The Process Chemometrics Approach to Process Monitoring and Fault Detection," J. Process Contr. 6(6), 329-348 (1996).
    • (1996) J. Process Contr , vol.6 , Issue.6 , pp. 329-348
    • Wise, B.M.1    Gallagher, N.B.2
  • 35
    • 84951601886 scopus 로고
    • Cross-Validatory Estimation of Components in Factor and Principal Components Models
    • Wold, S., "Cross-Validatory Estimation of Components in Factor and Principal Components Models," Technometrics 20, 397-405 (1978)
    • (1978) Technometrics , vol.20 , pp. 397-405
    • Wold, S.1
  • 36
    • 22844447009 scopus 로고    scopus 로고
    • Kerenel ICA: An Alternative Formulation and Its Application to Face Recognition
    • Yang, J., X. Gao, D. Zhang and J. Yang, "Kerenel ICA: An Alternative Formulation and Its Application to Face Recognition," Pattern Recognition 38(10), 1784-1787 (2005).
    • (2005) Pattern Recognition , vol.38 , Issue.10 , pp. 1784-1787
    • Yang, J.1    Gao, X.2    Zhang, D.3    Yang, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.