Neuro-fuzzy based fault diagnosis applied to an electro-pneumatic valve

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue 1, 2002, Pages 477-482

  Uppal, Faisel J ^a   Patton, Ron J ^a   Palade, Vasile ^a  

^a UNIVERSITY OF HULL   (United Kingdom)

Author keywords

Actuators; Fault diagnosis; Fault isolation; Fuzzy hybrid systems; Neuro fuzzy networks

Indexed keywords

ACTUATORS; AUTOMATION; DAMAGE DETECTION; DISASTER PREVENTION; ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; HYBRID SYSTEMS; PLANT SHUTDOWNS; PNEUMATIC ACTUATORS; PNEUMATIC EQUIPMENT; PNEUMATICS; SUGAR FACTORIES;

ACTUATOR FAULT; APPLICATION STUDIES; COMPUTATIONAL INTELLIGENCE TECHNIQUES; ELECTROPNEUMATIC; FAULT DIAGNOSIS METHOD; FAULT ISOLATION; MATERIAL DAMAGES; NEURO-FUZZY NETWORK;

FAULT DETECTION;

EID: 84945584937     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.01633     Document Type: Conference Paper

References (22)

1. Ayoubi M. (1995). Neuro-fuzzy Structure For Rule Generation And Application in The Fault Diagnosis of Technical Processes, Proc. American Control Conference, Washington, 2757-2761.
2. Babuska R. (1998). Fuzzy modelling in control, Kluwer Academic Publishers.
3. Ballé P., Nelles O. and Füssel D. (1997). Fault detection for nonlinear processes based on local linear fuzzy models in parallel and series-parallel model. Proc. of IFAC symposium on fault detection, supervision and safety for technical process safeprocess'97, The University of Hull, Kingston Upon Hull, UK.
4. Brown M. and Harris C. J. (1994). Neuro-fuzzy adaptive Modelling and Control, Prentice-Hall.
5. Füssel D., Ballé P., and Isermann R. (1997). Closed loop fault diagnosis based on a non-linear process model and automatic fuzzy rule generation, Proc. of IFAC symposium on fault detection, supervision and safety for technical process safeprocess'97, The University of Hull, UK.
6. Dexter A. L. (1995). Fuzzy model based fault diagnosis, IEE Proc. Control Theory Appl., Vol. 142 (6), 545-550.
7. Gustafson D. E. and Kessel W. C. (1979). Fuzzy clustering with a fuzzy covariance matrix, in Proc. IEEE Conf. Decision Contr., San Diego, CA, pp761-766.
8. Hauptmann W. and Heesche K. (1995). A neural net topology for bidirectional fuzzy - neuro transformation, Proc. of IEEE Int. Conf. on fuzzy systems, Vol. 3. March 20-24, 1995, Yokohama, Japan.
9. Jang J. S. R. (1993). ANFIS: Adaptive network based fuzzy inference system, IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-684.
10. Jang J.S. and Sun R. (1995). Neuro-fuzzy modeling and control. Proc. IEEE. Vol. 83(3), pp 378-405.
11. Jang J. S. R (1994). Structure determination in fuzzy modelling: a fuzzy CART approach. In Proceedings of IEEE International Conf. On Fuzzy Systems, Orlando, Florida, June 1994.
12. Krishnapuram R. and Freg C. P. (1992). Fitting an unknown number of lines and planes to image data through compatible cluster merging, Pattern Recognition, 25(4), 385-400.
13. Mamdani E. and Assilian S. (1975). An experiment in linguistic synthesis with fuzzy logic controller, Int. J. Man-Machine Studies, Vol. 7, no. 1, pp. 1-13, 1975.
14. Mamdani E. (1976). Advances in the linguistic synthesis of fuzzy controllers, Int. J. Man-Machine Studies, Vol. 8, pp. 669-678.
15. Nelles, O. and R. Isermann (1996). Basis function networks for interpolation of local linear models. IEEE Conference on Decision and Control (CDC), Kobe, Japan, pp. 470-475.
16. Patton R. J., Uppal F. J. and Lopez-Toribio C. J. (2000). Soft Computing Approaches To Fault Diagnosis For Dynamic Systems: A Survey, Proc. of 4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, Budapest, 14-16 June 2000, vol 1, pp. 298-311.
17. Patton R. J., Frank P. M., Clark R. N. (2000). Issues of Fault Diagnosis for Dynamic Systems, Springer-Verlag London, ISBN 3-540-19968-3.
18. Patton R. J., Chen J. and Siew T. M. (1994). Fault Diagnosis in Non-linear dynamic systems via neural-networks, Proc. IEE Int. Conference Control '94, Coventry, UK, 2, 1346-1351.
19. Setnes M. and Kaymak U. (1998). Extended fuzzy c-means with volume prototypes and cluster merging, In: Proceedings EUFIT'98, Aachen, Germany, Sept. 1998, pp. 1360-1364.
20. Sugeno M. and Kang G. (1988). Structure identification of fuzzy model, Fuzzy Sets and Systems, 26(1), 15-33.
21. nd Int. Conference on Knowledge-Based Intelligent Electronic Systems, April 1994, Adelaide, Australia.
22. Takagi T. and Sugeno M. (1985). Fuzzy identification of systems and its applications to modelling and control, IEEE Trans. Syst., Man, Cybern., Vol. 15, 1985.