1 |
S. Simani, C. Fantuzzi and R.J, Patton, Model-based fault diagnosis In dynamic systems using identification techniques, Springer, 2003
|
2 |
D. Schroder, Intelligent observer and control design for nonlinear systems, springer, 2000
|
3 |
Wen Chen and Mehrdad Saif,' Robust fault detection in uncertain nonlinear systems via a second order sliding mode observer', Proc. of the 40th IEEE conf. on Decision and Control, Sydney, Australia, Dec. 2000
|
4 |
L.F.Mendonca, lM.C.Sousa and lM.G. Sa da Costa,' Fault detection and isolation of industrial process using optimized fuzzy models', Proceedings of the 2005 IEEE international conference on fuzzy system, May 2005, pp.851 -856
|
5 |
P. M. Frank,'On-line fault detection in uncertain nonlinear systems using diagnostic observers: A survey', International Journal of System Science, 1994, Vo!.25, No.12, pp.2129-2154
DOI
ScienceOn
|
6 |
R Seliger and P. M. Frank,' Robust residual evaluation by threshold selection and a performance index for nonlinear observer based fault diagnosis', Proc. International Conf. on Fault Diagnosis, Toulouse, April, 1993
|
7 |
L.H. Tsoukalas, RE. Uhrig, Fuzzy and neural approaches in engineering, John Wiley & sons, Inc, 1997
|
8 |
A. Ichtev, l Hellendoorn, and R Babuska,' Fault detection and isolation using multiple Takagi-Sugeno fuzzy models', Proceedings of the 2001 IEEE international fuzzy system conference, pp.l498-1502
|
9 |
이기상, 이상문, ' 함수관측자를 이용한 장치고장검출기법', 전기학회논문지, 제 55D권, 제3호, 2006, pp.91-97
과학기술학회마을
|
10 |
R Patton, P. M. Frank and R N. Clark, Fault diagnosis In dynamic systems, Theory and Application, Prentice-Hall, 1989
|
11 |
E. Kim,' A fuzzy disturbance observer and its application to control', IEEE Transaction on Fuzzy Systems, Vol.10, No.1, February, 2002, pp.77-84
DOI
ScienceOn
|
12 |
C.J. Lopez-Toribio, R]. Patton,' Takagi-Sugeno fuzzy fault tolerant control for a non-linear system', proc. of the 38th Conference on Decision and Control. Phoenix, Arizona USA, December 1999, pp. 4368-4373
|
13 |
J.R Lee et. al., 'Fault Diagnosis of nonlinear system based on fuzzy dynamic model', Proceedings of the 1999 IEEE international fuzzy system conference, Seoul, Korea, August 1999, pp.245-250
|
14 |
P. Bergstein, R. Palm and D. Driankov, 'Fuzzy Observers', Proc. of 2001 IEEE International Fuzzy System Conference, pp.7oo-703
|
15 |
K. Tanaka, T. Ikeda and H.O. Wang,' Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs', IEEE Transaction on Fuzzy Systems, Vo!.6, No.2, May, 1998, pp.250-265
DOI
ScienceOn
|
16 |
Y. Zheng, H. Fang, and H.G. Wang, 'Takagi-Sugeno fuzzy-model-based fault detection for networked control systems with markov delays', IEEE transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol.36, NO.4, August, 2006, pp.924-929
DOI
ScienceOn
|
17 |
A.D. Pouliezos and G.S. Stavrakakis, Real time fault monitoring of industrial processes, Kluwer academic publishers, 1994
|
18 |
P. M. Frank,' Fault diagnosis in dynamic systems using analytical and knowledge based redundancy: A survey and some new results' ,Automatica,Vol.26, 1990, pp.459-474
DOI
ScienceOn
|
19 |
D. Koenig and S. Mammar,'Design of a class of reduced order unknown input nonlinear observer for fault diagnosis', Proc. of ACC, Arlington, VA, June25-27,2oo1
|
20 |
M.C.M. Teixeira & S.H. Zak,' Stabilizing controller design for uncertain nonlinear systems using fuzzy models', IEEE Trans. Fuzzy Systems, Vol.7, No.2, April 1999, pp.133-142
DOI
ScienceOn
|