Data driven approach for Fault Detection and Identification using Competitive Learning techniques

2007 European Control Conference, ECC 2007

Volumn , Issue , 2007, Pages 2280-2287

  Babbar, Ashish ^a   Syrmos, Vassilis L ^b  

^a UNIVERSITY OF HAWAII   (United States)

^b University of Hawaii at Manoa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT LANDING; CONFORMAL MAPPING; FLIGHT CONTROL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SELF ORGANIZING MAPS; VTOL/STOL AIRCRAFT;

CLUSTERING APPROACH; COMPETITIVE LEARNING; DATA-DRIVEN APPROACH; FAULT DETECTION AND IDENTIFICATION; PRE-PROCESSING; REDUCTION TECHNIQUES; ROBUST FAULT DIAGNOSIS; VERTICAL TAKEOFF AND LANDING AIRCRAFT (VTOL);

FAULT DETECTION;

EID: 84927723181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2007.7068355     Document Type: Conference Paper

References (26)

1. P. Frank, R. Patton and R. Clark, Fault Diagnosis in Dynamic Systems, Theory and Application, Prentice Hall, New Jersey, 1989
2. P. Frank, R. Patton and R. Clark, Issues in Fault Diagnosis in Dynamic Systems, Springer, Verlag, 2000
3. J. J. Gertler, Fault Detection and Diagnosis in Engineering Systems, Marcel Dekker, New York, 1998
4. D. C. Swanson, "A general prognostic tracking algorithm for predictive maintenance," Proc. IEEE Aerospace Conference, vol. 6, March. 2001, pp. 2971-2977.
5. X. R. Yin, J. Z. He, Z. H. Zhou "Using Neural Network for Fault Diagnosis," Proc. of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Volume 5, July 2000, pp. 217-220.
6. G. Betta, C. Ligouri, and A. Pietrosanto, "An Advanced Neural Network based instrument fault detection and isolation scheme," IEEE Trans. Intrumen. Meas., vol 47, April 1998, pp. 507-512.
7. J. Luo. And M. Namburu, "Model-based prognostic techniques", Proc. IEEE Systems Readiness Technology Conference, September. 2003, pp. 330-340.
8. G. A. Barreto, Joaa C. M. Mota, Louis G. M. Souza and R. A. Frota,"Condition Monitoring of 3G Cellular Networks Through Competitive Neural Models", IEEE Transactions on Neural Networks, vol. 16, No 5, pp. 1064-1075, September 2005.
9. S. Zaneron and S. M. Savaresi, "Unsupervised learning techniques for an intrusion detection system," Proc. ACM symp. Applied Computing, 2004, pp. 412-419.
10. J. Z. Lei and A. Ghorbani, "Network Intrusion detection using an improved competitive neural network," Proc. 2nd Annual Conf. Communication Networks and Services R (CSNR'04), 2004, pp. 190-197.
11. A. Flexer,"On the use of self organizing maps for clustering and visualization", Intell Data Anal., vol. 5, No 5, pp. 373-384, 2001.
12. T. Kohonen, E. Oja, O. Simula and J. Vesanto,"Process Monitoring and modeling using self-organizing maps", Integr. Computer Aided Eng., vol. 6, No 1, pp. 3-14, 1999.
13. A. S. Heger, L. E. Holbert and A. M. Ishaque, "Fuzzy Associative memories for intrument fault detection," Ann. Nucl. Energy, vol. 23, Sept 1994, Pp. 739-756.
14. Z. Q. Liu and F. Yan, "Fuzzy Neural Network in case Based Diagnostic System," IEEE Trans. Fuzzy Syst., vol. 5, pp. 209-222, May 1997.
15. S. Haykin, "Neural Networks-A Comprehensive Foundation", Prentice Hall, 1999.
16. M. M. Van Hulle, "Faithful Representations and Topographic mapsfrom Distortion to Information Based Self Organization", John Willey and Sons, 2000.
17. S. Grossberg,"Adaptive pattern classification and universal recording: I. Parallel developement and coding of neural feature detectors", Biol. Cybern., 23, pp. 121-134.
18. D. E. Rumelhart and D. Zipser,"Feature discovery by competitive learning", Cognitive Science, 9, pp. 75-112.
19. D. DeSieno, "Adding a conscience to competitive learning", IEEE Int. Conf. on Neural Networks (San Diego), vol. I, pp. 117-124.
20. S. C. Ahalt, A. K. Krishnamurthy, P. Chen and D. Zipser,"Competitive learning algorithms for vector quantization", Neural Networks, 3, pp. 277-290.
21. T. Kohonen,"Self-Organizing Maps", Second Edition, Springer, 1997.
22. J. Buhmann and H. Kuhnel,"Complexity optimized data clustering by competitive neural networks", Neural Comput., vol. 5, no. 3, pp. 75-88, May 1993.
23. J. Vesanto and E. Alhoniemi,"Clustering of the self-organizing maps", IEEE transactions on Neural Networks, vol. 11, no. 3, May 2000.
24. A. K. Jain and R. C. Dubes,"Algorithms for clustering data", Prentice Hall, 1988.
25. Y. M. Zhang and X. R. Li,"Detection and diagnosis of sensor and actuator failures using IMM estimator", IEEE Transactions on Aerospace and Electronic Systems, vol. 34, No 4, pp. 1293-1313 1998.
26. Y. M. Zhang and J. Jin,"Integrated active fault tolerant control using IMM approach", IEEE Transactions on Aerospace and Electronic Systems, vol. 37, No 4, pp. 1221-1235 2001.