Neurofuzzy networks based fault diagnosis of nonlinear systems

Proceedings of the IEEE International Conference on Industrial Technology

Volumn 2005, Issue , 2005, Pages 708-713

  Mok, H T ^a   Chan, C W ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FUZZY CONTROL; LEAST SQUARES APPROXIMATIONS; MEMBERSHIP FUNCTIONS; NONLINEAR SYSTEMS;

FAULT DETECTION; FAULT DIAGNOSIS; ISOLATION TECHNIQUES; NEUROFUZZY NETWORKS;

NEURAL NETWORKS;

EID: 33847320579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2005.1600728     Document Type: Conference Paper

References (10)

1. R. Isermann, "Supervision, fault-detection and fault-diagnosis methods - An introduction", Control Engineering Practice, vol. 5, pp. 639-652, 1997.
2. J. Gertler, "Residual generation in model-based fault- diagnosis", Control-Theory and Advanced Technology, vol. 1, pp. 259-285, 1993.
3. R.J. Patton, J. Chen, and H. Benkhedda, "A study on neuro-fuzzy systems for fault diagnosis", International Journal of Systems Science, vol. 11, pp. 1441-1448, 2000.
4. W.G. Fenton, T.M. McGinnity, and L.P. Maguire, "Fault diagnosis of electronic systems using intelligent techniques: A review", IEEE Transactions on Systems Man And Cybernetics Part C - Applications And Reviews, vol. 3, pp. 269-281, 2001.
5. V. Venkatasubramanian, R. Rengaswamy, and S.N. Kavuri, "A review of process fault detection and diagnosis Part II: Qualitative models and search strategies", Computers and Chemical Engineering, vol. 3, pp. 313-326, 2003.
6. P.M. Frank, and B. Köppen-Seliger, "Fuzzy logic and neural network applications to fault diagnosis", International Journal of Approximate Reasoning, vol. 1, pp. 67-88, 1997.
7. M. Brown, and C.J. Harris, Neurofuzzy adaptive modelling and control. Prentice Hall, New York, 1994.
8. O.M. Al-Jarrah, and M. Al-Rousan, "Fault detection and accommodation in dynamic systems using adaptive neurofuzzy systems", IEE Proceedings - Control Theory and Applications, vol. 4, pp. 283-290, 2001.
9. F.J. Uppal, and R.J. Patton, "Application of B-spline neuro-fuzzy networks to identification, fault detection and isolation", UKACC International Conference on Control 2000, Cambridge, UK, 2000.
10. Y. Wang, C.W. Chan, and K.C. Cheung, "Intelligent fault diagnosis based on neurofuzzy networks for nonlinear dynamic systems", Proceeding of IFAC Conference on New Technologies for Computer Control 2001, Hong Kong, China, pp. 101-104.