A robust fault-detection approach with application in a rolling-mill process

IEEE Transactions on Control Systems Technology

Volumn 11, Issue 3, 2003, Pages 408-414

  Gu, Da Wei ^a   Poon, Fu Wah ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Fault detection; Observers; Robustness

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; OBSERVABILITY; ROBUSTNESS (CONTROL SYSTEMS); ROLLING MILLS;

FAULT DETECTION;

CONTROL SYSTEMS;

EID: 0038273904     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2003.810388     Document Type: Article

References (21)

1. R. V. Beard, "Failure Accommodation in Linear System through Self Reorganization," Ph.D. dissertation, Mass. Inst. Technol., Cambridge, MA, 1971.
2. J. Chen and R. J. Patton, Robust Model-Based Fault Diagnosis for Dynamic Systems. Boston, MA: Kluwer, 1999.
3. _, "Standard h-infinity filtering formulation and robust fault detection," in Proc. IFAC Symp. Fault Detection, Supervision Safety Technical Process, Budapest, Hungary, 2000, pp. 256-261.
4. J. Chen, R. J. Patton, and H. Y. Zhang, "Design of unknown input observers and robust fault detection filters," Int. J. Contr., vol. 63, no. 1, pp. 85-105, 1996.
5. R. H. Chen and J. L. Speyer, "Residual-sensitive fault detection filter," in Proc. 7th Mediterranean Conf. Control Automation, Haifa, Israel, June 1999.
6. S. G. Choi, M. A. Johnson, and M. J. Grimble, "Polynomial LQG control of back-up-roll eccentricity gauge variations in cold rolling mills," Automatica, vol. 30, no. 6, pp. 975-992, 1984.
7. G. R. Duan and R. J. Patton, "Robust fault detection in linear systems using luenberger observers," in Proc. UKACC Int. Conf. Control, Sep 1998, pp. 1468-1473.
8. A. Emami-Naeini, M. M. Akhter, and S. M. Rock, "Effect of model uncertainty on failure detection: The threshold selector," IEEE Trans. Automat. Contr., vol. 33, pp. 1106-1116, Dec 1988.
9. P. R. Evans, D. E. Hill, and N. D. Vaughan, "Dynamic characteristics of a rolling mill," J. Syst. Contr. Eng., vol. I, Dec. 1996.
10. P. M. Frank et al., "Fault diagnosis in dynamic systems via state estimation - A survey," in System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches, D. Tzafestas et al., Eds. Dordrecht, The Netherlands: Reidel, 1987, pp. 35-98.
11. P. M. Frank, S. X. Ding, and B. Kopper-Seliger, "Current development in the theory of EDI," in Proc. IFAC Symp. Fault Detection, Supervision, Safety Technical Process, Budapest, Hungary, 2000, pp. 16-27.
12. W. Heiser, "Trends in the grinding and use of rolls for the modern aluminum mill," in Mechanical Working Steel Processing Proc., 1988, pp. 361-370.
13. R. Isermann, "Process fault detection based on modeling and estimation methods: A survey," Automatica, vol. 20, no. 4, pp. 387-404, 1984.
14. R. Isermann and P. Balle, "Trends in the application of model-based fault diagnosis of technical processes," Contr. Eng. Practice, vol. 5, pp. 707-719, 1997.
15. D. Luenberger, "An introduction to observers," IEEE Trans. Automat. Contr., vol. AC-16, pp. 596-602, Dec. 1971.
16. R. J. Patton, P. M. Frank, and R. N. Clark, Fault Diagnosis in Dynamic Systems:Theory and Applications. Englewood Cliffs, NJ: Prentice-Hall, 1989.
17. _, Robust Fault Diagnosis using Unknown Input Observer Schemes. Englewood Cliffs, NJ: Prentice-Hall, 1989, ch. 3, pp. 47-98.
18. F. W. Poon, "Observer Based Robust Fault Detection: Theory and Rolling Mill Case Study," Ph.D., Univ. Leicester, Dept. Eng., Leicester, U.K., 2000.
19. L. C. Shen and P. L. Hsu, "Robust design of fault isolation observers," Automatica, vol. 34, no. 11, pp. 1421-1429, 1998.
20. M. L. Tyler, K. Asano, and M. Morari, "Application of moving horizon estimation based fault detection to cold tandem steel mill," Int. J. Contr., vol. 73, no. 5, pp. 427-438, 2000.
21. J. C. Willems, "Least squares stationary optimal control and the algebraic Riccati equation," IEEE Trans. Automat. Contr., vol. AC-16, pp. 621-634, Dec. 1971.