Brief paper: Fault diagnosis based on parameter estimation in closed-loop systems

IET Control Theory and Applications

Volumn 9, Issue 7, 2015, Pages 1146-1153

  Zhai, Shouchao ^a   Wang, Wei ^a   Ye, Hao ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP SYSTEMS; FAILURE ANALYSIS; FAULT DETECTION; MIMO SYSTEMS;

FAULT DETECTION AND ISOLATION; FAULT DIAGNOSIS METHOD; MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM; ON-LINE IDENTIFICATION; OPTIMAL PARAMETER ESTIMATION; ORTHOGONAL DIRECTIONS; PERSISTENT EXCITATION CONDITIONS; PROJECTION DIRECTION;

PARAMETER ESTIMATION;

EID: 84929485272     PISSN: 17518644     EISSN: 17518652     Source Type: Journal    
DOI: 10.1049/iet-cta.2014.0717     Document Type: Article

References (30)

1. Venkatasubramanian, V., Rengaswamy, R., Kavuri, S. et al.: 'A review of process fault detection and diagnosis: part III: process history based methods', Comput. Chem. Eng., 2003, 27, (3), pp. 327-346
2. Yin, S., Ding, S.X., Haghani, A. et al.: 'A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark tennessee eastman process', J. Process Control, 2012, 22, (9), pp. 1567-1581
3. Yin, S., Li, X., Gao, H. et al.: 'Data-based techniques focused on modern industry: an overview', IEEE Trans. Ind. Electron., 2014, DOI:10.1109/TIE.2014.2308133
4. Yin, S., Wang, G., Karimi, H.R.: 'Data-driven design of robust fault detection system for wind turbines', Mechatronics, 2014, 24, (4), pp. 298-306
5. Yin, S., Luo, H., Ding, S.X.: 'Real-time implementation of faulttolerant control systems with performance optimization', IEEE Trans. Ind. Electron., 2014, 61, (5), pp. 2402-2411
6. Ding, S.X.: 'Model-based fault diagnosis techniques: design schemes, algorithms, and tools' (Springer-Verlag, 2008)
7. Gustafsson, F.: 'Statistical signal processing approaches to fault detection', Annu. Rev. Control, 2007, 31, (1), pp. 41-54
8. Isermann, R.: 'Process fault detection based on modeling and estimation methods-a survey', Automatica, 1984, 20, (4), pp. 387-404
9. Ono, T., Kumamaru, T., Maeda, A. et al.: 'Influence matrix approach to fault diagnosis of parameters in dynamic systems', IEEE Trans. Ind. Electron., 1987, 34, (2), pp. 285-291
10. Doraiswami, R., Stevenson, M.: 'A robust influence matrix approach to fault diagnosis', IEEE Trans. Control Syst. Technol., 1996, 4, (1), pp. 29-39
11. Doraiswami, R., Diduch, C.P., Tang, J.: 'A new diagnostic model for identifying parametric faults', IEEE Trans. Control Syst. Technol., 2010, 18, (3), pp. 533-544
12. Bachir, S., Tnani, S., Trigeassou, J.C.: 'Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines', IEEE Trans. Ind. Electron., 2006, 53, (3), pp. 963-973
13. Jiang, T., Khorasani, K., Tafazoli, S.: 'Parameter estimation-based fault detection, isolation and recovery for nonlinear satellite models', IEEE Trans. Control Syst. Technol., 2008, 16, (4), pp. 799-808
14. Ding, S. X., Zhang, P., Naik, A. et al.: 'Subspace method aided datadriven design of fault detection and isolation systems', J. Process Control, 2009, 19, (9), pp. 1496-1510
15. Wang, Y., Ma, G., Ding, S.X.: 'Subspace aided data-driven design of robust fault detection and isolation systems', Automatica, 2011, 47, (11), pp. 2474-2480
16. Yin, S., Ding, S.X., Abandan Sari, A.H. et al.: 'Data-driven monitoring for stochastic systems and its application on batch process', Int. J. Syst. Sci., 2013, 44, (7), pp. 1366-1376
17. McNabb, C.A., Qin, S.J.: 'Fault diagnosis in the feedback-invariant subspace of closed-loop systems', Ind. Eng. Chem. Res., 2005, 44, (8), pp. 2359-2368
18. Isermann, R., Münchhof, M.: 'Identification of dynamic systems: an introduction with applications' (Springer-Verlag, Berlin, Heidelberg, 2011)
19. Ljung, L.: 'System identification: theory for the user' (Wiley, Online Library, 1999)
20. Van Den Hof, P.M., Schrama, R.J.P.: 'Identification and control-closed-loop issues', Automatica, 1995, 31, (12), pp. 1751-1770
21. Forssell, U., Ljung, L.: 'Closed-loop identification revisited', Automatica, 1999, 35, (7), pp. 1215-1241
22. Cheng, L.L., Kwok, K.E., Huang, B.: 'Closed-loop fault detection using the local approach', Can. J. Chem. Eng., 2003, 81, (5), pp. 1101-1108
23. Massy, W.F.: 'Principal components regression in exploratory statistical research', J. Am. Stat. Assoc., 1965, 60, (309), pp. 234-256
24. Geladi, P., Kowalski, B.R.: 'Partial least-squares regression: a tutorial', Anal. Chim. Acta, 1986, 185, pp. 1-17
25. Akaike, H.: 'A new look at the statistical model identification', IEEE Trans. Autom. Control, 1974, 19, (6), pp. 716-723
26. Kay, S.: 'Conditional model order estimation', IEEE Trans. Signal Process., 2001, 49, (9), pp. 1910-1917
27. Liu, X., Zhang, H., Liu, J. et al.: 'Fault detection and diagnosis of permanent-magnet DC motor based on parameter estimation and neural network', IEEE Trans. Ind. Electron., 2000, 47, (5), 1021-1030
28. Reppa, V., Tzes, A.: 'Fault detection and diagnosis based on parameter set estimation', IET Control Theory Appl., 2011, 5, (1), pp. 69-83
29. Gertler, J., Cao, J.: 'PCA-based fault diagnosis in the presence of control and dynamics', AIChE J., 2004, 50, (2), pp. 388-402
30. Chen, J., Patton, R.J.: 'Robust model-based fault diagnosis for dynamic systems' (Kluwer Academic Publishers, 1999)