Neural networks-based negative selection algorithm with applications in fault diagnosis

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 4, Issue , 2004, Pages 3408-3414

  Gao, X Z ^a   Ovaska, S J ^a   Wang, X ^a   Chow, M Y ^b  

^a AALTO UNIVERSITY   (Finland)

^b North Carolina State University   (United States)

Author keywords

Anomaly detection; Artificial immune systems; Fault diagnosis; Negative selection algorithm; Neural networks

Indexed keywords

ANTIGENS; BACTERIA; CELLS; COMPUTER SIMULATION; DATA REDUCTION; FAULT TOLERANT COMPUTER SYSTEMS; FUZZY SETS; IMMUNOLOGY; LEARNING ALGORITHMS; PATHOLOGY; PATTERN RECOGNITION; TUMORS; VIRUSES;

ANOMALY DETECTION; ARTIFICIAL IMMUNE SYSTEMS; FAULT DIAGNOSIS; NEGATIVE SELECTION ALGORITHMS (NSA);

NEURAL NETWORKS;

EID: 15744379944     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. M. Y. Chow, Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection. Singapore: World Scientific Publishing Co. Pte. Ltd, 1997.
2. D. Dasgupta and S. Forrest, "Tool breakage detection in milling operations using a negative selection algorithm," Technical Report CS95-5, Department of Computer Science, University of New Mexico, Albuquerque, NM, 1995.
3. D. Dasgupta and N. Attoh-Okine, "Immunity-based systems: A survey," in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Orlando, FL, October 1997, pp. 369-374.
4. D. Dasgupta and F. González, "An immunity-based technique to characterize intrusions in computer networks," IEEE Transactions on Evolutionary Computation, vol. 6, no. 3, pp. 1081-1088, June 2002.
5. L. N. de Castro and J. Timmis, Artificial Immune Systems: A New Computational Intelligence Approach, London, UK: Springer-Verlag, 2002.
6. S. Forrest, A. S. Perelson, L. Allen, and R. Cherukuri, "Self-nonself discrimination in a computer," in Proceedings of the IEEE Symposium on Research in Security and Privacy, Los Alamos, CA, May 1994, pp. 202-212.
7. P. M. Frank, "Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - A survey and some new results," Automatica, vol. 26, no. 3, pp. 459-474, 1990.
8. F. González, A Study of Artificial Immune Systems Applied to Anomaly Detection. Ph.D. Dissertation, Division of Computer Science, University of Memphis, Memphis, TN, May 2003.
9. nd International Conference on Artificial Immune Systems, Edinburgh, UK, September 2003, pp. 261-272.
10. nd ed.), Upper Saddle River, NJ: Prentice-Hall, 1998.
11. B. Li, M.-Y. Chow, Y. Tipsuwan, and J. C. Hung, "Neural-network- based motor rolling bearing fault diagnosis," IEEE Transactions on Industrial Electronics, vol. 47, no. 5, pp. 1060-1069, October 2000.
12. M. C. Mackey and L. Glass, "Oscillation and chaos in physiological control systems," Science, vol. 197, pp. 287-289, 1977.