Kalman filter for parametric fault detection: An internal model principle-based approach

IET Control Theory and Applications

Volumn 6, Issue 5, 2012, Pages 715-725

  Doraiswami, R ^a   Cheded, L ^b  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED-LOOP STRUCTURES; COMPLEX ENGINEERING SYSTEM; COMPOSITE HYPOTHESIS TESTING; FALSE ALARMS; HIGH PROBABILITY; INTERNAL MODELS; KALMAN-FILTERING; LOW PROBABILITY; MODEL MISMATCH; PARAMETRIC FAULT; PHYSICAL SYSTEMS; REFERENCE INPUTS; RESIDUAL GENERATOR; SUFFICIENT CONDITIONS;

FINITE DIFFERENCE METHOD;

KALMAN FILTERS;

EID: 84860528761     PISSN: 17518644     EISSN: 17518652     Source Type: Journal    
DOI: 10.1049/iet-cta.2011.0106     Document Type: Article

References (16)

1. Chen, J., and Patton, R.: ' Robust model-based fault diagnosis for dynamic systems ', (Kluwer Academic Publishers, 1999)
2. Ding, S.: ' Model-based fault diagnosis techniques: design schemes ', (Springer-Verlag, 2008)
3. Gertler, J.F.: ' Fault detection and diagnosis in engineering systems ', (Marcel-Dekker Inc., 1998)
4. Isermann, R.: ' Fault diagnosis of machines via parameter estimation and knowledge processing ', Automatica, 1993, 29, (4), p. 815-835 10.1016/0005-1098(93)90088-B 0005-1098
5. Doraiswami, R., Diduch, C.P., and Tang, J.: ' A new diagnostic model for identifying parameter faults ', IEEE Trans. Control Syst. Technol., 2010, 18, (3), p. 533-544 10.1109/TCST.2009.2023913 1063-6536
6. Francis, B.F., and Wonham, M.W.: ' The internal model principle of control theory ', Automatica, 1976, 12, p. 457-465 10.1016/0005-1098(76)90006-6 0005-1098
7. Doraiswami, R.: ' Modeling and identification for fault diagnosis: a new paradigm ', Proc. 10th Int. Conf. on Control Applications, Mexico City, Mexico, 2001, p. 236-241
8. Brown, R.G., and Hwang, P.Y.: ' Introduction to random signals and applied Kalman filtering ', (John Wiley and Sons, 1997)
9. Mendel, J.: ' Lessons in estimation theory in signal processing, communications and control ', (Prentice-Hall, 1995)
10. Simon, S.: ' Optimal state estimation ', (John Wiley and Sons, 2006)
11. Sharf, L.L.: ' Statistical signal processing: detection, estimation and time series analysis ', (Addison Wesly Publishing Co., 1991)
12. Pertew, A., Marquez, H., and Zhao, Q.: ' H-infinity observer design with applications in faut diagnosis ', (Seville, Spain, 2006)
13. Kay, S.K.: ' Fundamentals of statistical signal processing: detection theory ', (Prentice Hall, PTR, New Jersey, 1998)
14. Forssell, U., and Ljung, L.: ' Closed loop identification revisited ', Automatica, 1999, 35, p. 1215-1241 10.1016/S0005-1098(99)00022-9 0005-1098
15. Doraiswami, R., Cheded, L., and Khalid, M.H.: ' Sequential integration approach to fault diagnosis with applications: Model-free and model-based approaches ', (VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG, 2010)
16. Silvio, S., Fantuzzi, C., and Patton, R.J.: ' Model-based diagnosis using identification techniques ', (Advances in Industrial Control, Springer-Verlag, 2003)