Monitoring independent components for fault detection

AIChE Journal

Volumn 49, Issue 4, 2003, Pages 969-976

  Kano, Manabu ^a   Tanaka, Shouhei ^a   Hasebe, Shinji ^a   Hashimoto, Iori ^a   Ohno, Hiromu ^b  

^a KYOTO UNIVERSITY   (Japan)

^b KOBE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INDEPENDENT COMPONENT ANALYSIS; MONITORING; PRINCIPAL COMPONENT ANALYSIS; PROBLEM SOLVING; STATISTICAL PROCESS CONTROL;

FAULT DETECTION;

CHEMICAL REACTORS;

FAULT DETECTION;

ANALYTIC METHOD; ARTICLE; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; REACTOR;

EID: 0037394190     PISSN: 00011541     EISSN: None     Source Type: Journal    
DOI: 10.1002/aic.690490414     Document Type: Article

References (20)

1. Bakshi, B. R., "Multiscale PCA with Application to Multivariate Statistical Process Monitoring," AIChE J., 44, 1596 (1998).
2. Delfosse, N., and P. Loubaton, "Adaptive Blind Separation of Independent Sources: A Deflation Approach," Signal Process., 45, 59 (1995).
3. Girolami, M., Self-Organising Neural Networks: Independent Component Analysis and Blind Source Separation, Springer-Verlag, London (1991).
4. Hyvarinen, A., and E. Oja, "A Fast Fixed-Point Algorithm for Independent Component Analysis," Neural Comput., 9, 1483 (1997).
5. Jackson, J. E., "Quality Control Methods for Several Related Variables," Technometrics, 1, 359 (1959).
6. Jackson, J. E., and G. S. Mudholkar, "Control Procedures for Residuals Associated with Principal Component Analysis," Technometrics, 21, 341 (1979).
7. Jackson, J. E., "Principal Components and Factor Analysis: I. Principal Components," J. Qual. Technol., 12, 201 (1980).
8. Johannesmeyer, M., and D. E. Seborg, "Abnormal Situation Analysis Using Pattern Recognition Techniques and Historical Data," AIChE Meeting, Dallas, TX (1999).
9. Jutten, C., and J. Herault, "Blind Separation of Sources: I. An Adaptive Algorithm Based on Neuromimetic Architecture," Signal Process., 24, 1 (1991).
10. Kano, M., K. Nagao, H. Ohno, S. Hasebe, and I. Hashimoto, R. Strauss, and B. R. Bakshi, "Comparison of Statistical Process Monitoring Methods: Application to the Eastman Challenge Problem," Comput. Chem. Eng., 24, 175 (2000).
11. Kano, M., H. Ohno, S. Hasebe, and I. Hashimoto, "A New Statistical Process Monitoring Method Using Principal Component Analysis," Comput. Chem. Eng., 25, 1103 (2001).
12. Kano, M., H. Ohno, S. Hasebe, and I. Hashimoto, "Statistical Process Monitoring Based on Dissimilarity of Process Data," AIChE J., 48, 1231 (2002).
13. Kresta, J. V., J. F. MacGregor, and T. E. Marlin, "Multivariate Statistical Monitoring of Process Operating Performance," Can. J. Chem. Eng., 69, 35 (1991).
14. Ku, W., R. H. Storer, and C. Georgakis, "Disturbance Detection and Isolation by Dynamic Principal Component Analysis," Chemometrics Intell. Lab. Syst., 30, 179 (1995).
15. MacGregor, J. F., C. Jaeckle, C. Kiparissides, and M. Koutoudi, "Process Monitoring and Diagnosis by Multiblock Methods," AIChE J., 40, 826 (1994).
16. Montgomery, D. C., Introduction to Statistical Quality Control, Wiley, New York (1997).
17. Nomikos, P., "Detection and Diagnosis of Abnormal Batch Operations Based on Multi-Way Principal Component Analysis," ISA Trans., 35, 259 (1996).
18. Rotem, Y., A. Wachs, and D. R. Lewin, "Ethylene Compressor Monitoring Using Model-Based PCA," AIChE J., 46, 1825 (2000).
19. Wold, S., P. Geladi, K. Esbesen, and J. Ohman, "Multi-Way Principal Components- and PLS-Analysis," J. Chemometrics, 1, 41 (1987).
20. Yoon, S., and J. F. MacGregor, "Incorporation of External Information into Multivariate PCA/PLS Models," Prep. IFAC Workshop on On-line Fault Detection and Supervision in the Chemical Industries, Jejudo Island, Korea, p. 121 (2001).