Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection

Expert Systems with Applications

Volumn 37, Issue 7, 2010, Pages 5285-5294

  Aydin, Ilhan ^a   Karakose, Mehmet ^a   Akin, Erhan ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Anomaly and fault detection; Artificial immune system; K nearest neighbor; Negative selection

Indexed keywords

ANOMALY DETECTION; ARTIFICIAL IMMUNE SYSTEM; BROKEN ROTOR BAR FAULT; CHAOTIC MAP; CLONAL SELECTION; DATA SETS; FAULT DETECTION SYSTEMS; INITIAL POPULATION; K-NEAREST NEIGHBORS; NEGATIVE SELECTION; NEGATIVE SELECTION ALGORITHM; NUMBER GENERATOR; PARAMETER SELECTION; RANDOM NUMBERS; TEST DATA; TRAINING DATA;

ALGORITHMS; CHAOTIC SYSTEMS; IMMUNOLOGY; LYAPUNOV METHODS; NUMBER THEORY; POPULATION STATISTICS; RANDOM NUMBER GENERATION;

FAULT DETECTION;

EID: 77950189132     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.01.011     Document Type: Article

References (26)

1. Alatas, B., & Akin, E., (2008). Chaotically encoded particle swarm optimization algorithm. Chaos Solutions and Fractals, doi: 10.1016/j.chaos.2008.04.024.
2. Arena P., Caponetto R., Fortuna L., Rizzo A., and La Rosa M. Self organization in non recurrent complex system. International Journal of Bifurcation and Chaos 10 5 (2000) 1115-1125
3. Aydin, I., Karakose, M., & Akin, E. (2008). Artificial immune inspired fault detection algorithm based on fuzzy clustering and genetic algorithm methods. In Proceedings of IEEE computational intelligence for measurement system and applications (pp. 93-98), Istanbul, Turkey.
4. Ayhan, B., Chow, M. Y., & Trussell, H. J. (2007). A fuzzy membership function design methodology based on histogram and roc curve analyses for broken rotor bar detection. In Proceedings of IEEE international symposium on industrial electronics (pp. 1080-1085). Vigo, Spain.
5. Ayhan B., Chow M.-Y., and Song M.-H. Multiple discriminant analysis and neural-network-based monolith and partition fault detection schemes for broken rotor bar in induction motors. IEEE Transactions on Industrial Electronics 53 4 (2005) 1298-1308
6. Blake, C., & Merz, C. (1998). UCI repository of machine learning databases, .
7. Coelho L.D.S., and Mariani V.C. Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization. Expert System with Applications 34 (2008) 1905-1913
8. Dasgupta D. Advances in artificial immune systems. IEEE Computational Intelligence Magazine 1 4 (2006) 40-49
9. Dasgupta D., and Gonzalez F. An immunity-based technique to characterize intrusions in computer networks. IEEE Transactions on Evolutionary Computation 6 3 (2002) 281-291
10. Dasgupta, D., KrishnaKumar, K., Wong, D., & Berry, M. (2004). Negative selection algorithm for aircraft fault detection. In Proceedings of 3rd international conference on artificial immune systems (pp. 1-13). Catina, Sicily, Italy.
11. de Castro L.N., and Timmis J.I. Artificial immune systems as novel soft computing paradigm. Soft Computing 7 8 (2003) 526-544
12. de Castro L.N., and Zuben F.J.V. Learning and optimization using the clonal selection principles. IEEE Transactions on Evolutionary Computation 6 3 (2002) 239-251
13. Forrest, S., Perelson, A. S., Allen, L., & Cherukuri, R. (1994). Self-non-self discrimination in a computer. In Proceedings of IEEE symposium on research in security and privacy (pp. 202-212). Los Almos, CA.
14. Gan Z., Zhao M.B., and Chow T.W.S. Induction machine fault detection using clone selection programming. Expert System with Applications 34 4 (2009) 8000-8012
15. Gao H., Zhang Y., Liang S., and Li D.A. New chaotic algorithm for image encryption. Chaos Solutions and Fractals 29 (2006) 393-399
16. Gao, X. Z., Ovaska, S. J., & Wang, X. (2007). Particle swarm optimization of detectors in negative selection algorithm. In Proceedings of IEEE systems man cybernetics (pp. 1236-1242). Montreal, Quebec, Canada.
17. Gong M., Jiao L., Zhang L., and Du H. Immune secondary response and clonal selection inspired optimizers. Progress in Natural Science 19 2 (2009) 237-253
18. Heidari B.G., and McGillem C.D.A. Chaotic direct-sequence spread spectrum communication system. IEEE Transactions on Communications 42 2/3/4 (1994) 1524-1527
19. Igawa K., and Ohashi H. A negative selection algorithm for classification and reduction of noise effect. Applied Soft Computing 9 1 (2009) 431-438
20. Leung K., Cheong F., and Cheong C. Generating compact classifier systems using a simple artificial immune system. IEEE Transactions on Systems Man and Cybernetics - Part B 37 5 (2007) 1344-1356
21. Sinai J.G. Finite-dimensional randomness. Russian Mathematical Surveys 46 (1991) 177-191
22. Suneel M. Chaotic sequences for secure CDMA. Ramanujan Institute for Advanced Study in Mathematics (2006) 1-4
23. Wong K., Man K.P., Li S., and Liao X. A more secure chaotic cryptographic scheme based on the dynamic look-up table. Circuits System and Signal Processing 24 5 (2005) 571-584
24. Xinmin, T., Baoxiang, D., & Yong, X. (2007). One-class bearing fault detection using negative clone selection algorithm. In Proceedings of 33rd annual conference of IEEE industrial electronics (pp. 2672-2677). Tapei, Taiwan.
25. Yoo J., and Hajela P. Immune network simulations in multicriterion design. Structural Optimization 18 2 (1999) 85-94
26. Zhou, J., & Dipankar D. (2004). Real-valued negative selection algorithm with variable sized detectors. In Proceedings of genetic and evolutionary computation conference (Vol. 3102, pp. 287-298).