Observer-based fault diagnosis in chemical plants

Chemical Engineering Journal

Volumn 112, Issue 1-3, 2005, Pages 93-108

  Sotomayor, Oscar A Z ^a   Odloak, Darci ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Analytical redundancy; Fault diagnosis; Fluid catalytic cracking unit; Model predictive control; Polymerization process; Unknown input observers

Indexed keywords

ACTUATORS; COMPUTER SIMULATION; FAULT TREE ANALYSIS; FLUID CATALYTIC CRACKING; MATHEMATICAL MODELS; ONLINE SYSTEMS;

ANALYTICAL REDUNDANCY; FAULT DIAGNOSIS; FLUID CATALYTIC CRACKING UNIT; MODEL PREDICTIVE CONTROL; POLYMERIZATION PROCESS; UNKNOWN INPUT OBSERVERS;

CHEMICAL PLANTS;

CHEMICAL; INDUSTRIAL APPLICATION;

EID: 24944561430     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2005.07.001     Document Type: Article

References (28)

1. A.S. Willsky A survey of design methods for failure detection in dynamic systems Automatica 12 6 1976 601 611
2. J.J. Gertler A survey of model-based failure detection and isolation in complex plants IEEE Contr. Syst. Mag. 8 6 1988 3 11
3. P.M. Frank Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results Automatica 26 3 1990 459 474
4. R.J. Patton Robustness in model-based fault diagnosis: the 1995 situation Annu. Rev. Contr. 21 1 1997 103 123
5. R. Isermann Supervision, fault-detection and fault-diagnosis methods - an introduction Contr. Eng. Pract. 5 5 1997 639 652
6. P.M. Frank, S.X. Ding, and T. Marcu Model-based fault diagnosis in technical processes Trans. Inst. Measure. Contr. 22 1 2000 57 101
7. V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S.N. Kavuri A review of process fault detection and diagnosis. Part I. Quantitative model-based methods Comput. Chem. Eng. 27 3 2003 293 311
8. R.J. Patton, and J. Chen Observer-based fault detection and isolation: robustness and applications Contr. Eng. Pract. 5 5 1997 671 682
9. P.M. Frank, and X. Ding Survey of robust residual generation and evaluation methods in observer-based fault detection systems J. Process Contr. 7 6 1997 403 424
10. S.K. Dash, R. Rengaswamy, V. Venkatasubramanian, Fault diagnosis in a nonlinear CSTR using observers, in: 2001 Annual AIChE Meeting, Paper 282i, Reno, NV, 2001.
11. C.-T. Chang, and J.-W. Chen Implementation issues concerning the EKF-based fault diagnosis techniques Chem. Eng. Sci. 50 18 1995 2861 2882
12. Y. Huang, G.V. Reklaitis, and V. Venkatasubramanian A heuristic extended Kalman filter based estimator for fault identification in a fluid catalytic cracking unit Ind. Eng. Chem. Res. 42 14 2003 3361 3371
13. R. Li, and J.H. Olson Fault detection and diagnosis in a closed-loop nonlinear distillation process: application of extended Kalman filter Ind. Eng. Chem. Res. 30 5 1991 898 908
14. R. Tarantino, F. Szigeti, and E. Colina-Morles Generalized Luenberger observer-based fault-detection filter design: an industrial application Contr. Eng. Pract. 8 6 2000 665 671
15. Y. Chetouani, N. Mouhab, J.M. Cosmao, and L. Estel Application of extended Kalman filtering to chemical reactor fault detection Chem. Eng. Commun. 189 9 2002 1222 1241
16. J. Chen, and R.J. Patton Robust model-based fault diagnosis for dynamic systems 1999 Kluwer Academic Publishers Massachusetts
17. M. Hou, and P.C. Müller Fault detection and isolation observers Int. J. Contr. 60 5 1994 827 846
18. P. Kaboré, S. Othman, T.F. McKenna, and H. Hammouri Observer-based fault diagnosis for a class of non-linear systems - application to a free radical copolymerization reaction Int. J. Contr. 73 9 2000 787 803
19. B.R. Maner, F.J. Doyle III, B.A. Ogunnaike, and R.K. Pearson Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models Automatica 32 9 1996 1285 1301
20. M.A. Rodrigues, and D. Odloak MPC for stable linear systems with model uncertaintly Automatica 39 4 2003 569 583
21. J. Wünnenberg. Observer-based fault detection in dynamic systems. PhD Thesis, Gerhard-Mercator-University of Duisburg, Germany, 1990.
22. L.F.L. Moro, and D. Odloak Constrained multivariable control of fluid catalytic cracking converters J. Process Contr. 5 1 1995 29 39
23. A.C. Zanin, M. Tvrzská de Gouvêa, and D. Odloak Integrating real-time optimization into the model predictive control of the FCC system Contr. Eng. Pract. 10 8 2002 819 831
24. T.N. Pranatyasto, and S.J. Qin Sensor validation and process fault diagnosis for FCC under MPC feedback Contr. Eng. Pract. 9 8 2001 877 888
25. H. Vedam, and V. Venkatasubramanian PCA-SDG based process monitoring and fault diagnosis Contr. Eng. Pract. 7 7 1999 903 917
26. X. Wang, U. Kruger, and B. Lennox Recursive partial least squares algorithms for monitoring complex industrial processes Contr. Eng. Pract. 11 6 2003 613 632
27. J. Park, G. Rizzoni, and W.B. Ribbens On the representation of sensor faults in fault-detection filters Automatica 30 11 1994 1793 1795
28. Y.M. Sebzalli, and X.Z. Wang Knowledge discovery from process operational data using PCA and fuzzy clustering Eng. Appl. Artific. Intell. 14 5 2001 607 616