Artificial immune classifier with swarm learning

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 8, 2010, Pages 1291-1302

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

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Artificial immune systems; Classification; Fault diagnosis; Induction motors; Particle swarm optimization

Indexed keywords

ARTIFICIAL IMMUNE; ARTIFICIAL IMMUNE SYSTEM; BELONG TO; BENCHMARK DATA; CLASSIFICATION; CLASSIFICATION TECHNIQUE; COMPUTATIONAL SYSTEM; DATA SETS; FAULT DIAGNOSIS; MEMORY CELL; MUTATION OPERATORS; NATURAL IMMUNE SYSTEMS; PARTICLE SWARM; PATTERN RECOGNITION AND CLASSIFICATION; THREE PROBLEMS;

ALGORITHMS; ANTIBODIES; CELL CULTURE; CELL PROLIFERATION; CLASSIFIERS; CLONE CELLS; CLONING; IMMUNOLOGY; INDUCTION MOTORS; MATHEMATICAL OPERATORS; PARTICLE SWARM OPTIMIZATION (PSO); RESEARCH; SEMICONDUCTOR STORAGE;

PATTERN RECOGNITION SYSTEMS;

EID: 77958074586     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.06.007     Document Type: Article

References (36)

1. D.W. Aha, D. Kibler, and M.K. Albert Instance-based learning algorithms Mach. Learn. 6 1 1991 37 66
2. I. Aydin A multi-objective artificial immune algorithm for parameter optimization in support vector machine Appl. Soft Comput 2009 10.1016/j.asoc.2009.11.003
3. Aydin, I., Karakose, M., Akin, E., 2007. A simple and efficient method for fault diagnosis using time series data mining. In: IEEE Electrical Machines and Drives Conference (IEMDC07), pp. 597600.
4. Aydin, I., Karakose, M., Akin, E., 2008. Artificial immune inspired fault detection algorithm based on fuzzy clustering and genetic algorithm methods. In: IEEE Computational Intelligence for Measurement System and Applications, Istanbul, vol. 1, pp. 9398.
5. A. Bellini, F. Filipetti, C. Tassoni, and G.A. Capolino Advances in diagnostic techniques for induction machines IEEE Trans. Ind. Electron. 55 2008 4109 4126
6. M.E.H. Benbouzid A review of induction motors signature analysis as a medium for faults detection IEEE Trans. Ind. Electron. 47 2000 984 993
7. Blackwell, T.M., Bentley, P.J., 2002. Don't push me! collision-avoiding swarms. In: Proceedings of the IEEE CEC, pp. 16911696.
8. Blake, C.L., Merz, C.J., 1998. UCI repository of machine learning databases. Available from: 〈 http://www.ics.uci.edu/∼mlearn/ MLRepository.html 〉.
9. P.J.C. Branco, J.A. Dente, and R.V. Mendes Using immunology principles for fault detection IEEE Trans. Ind. Electron. 50 2 2003 362 373
10. F. Briz, M.W. Degner, P. Garca, and D. Bragado Broken rotor bar detection in line-fed induction machines using complex wavelet analysis of startup transients IEEE Trans. Ind. Appl. 44 2008 760 768
11. F. Campelo, F.G. Guimaraes, H. Igarashi, and J.A. Ramirez Clonal selection algorithm for optimization in electromagnetic IEEE Trans. Magnetics 41 5 2005 1736 1739
12. V. Cizek Discrete Hilbert transforms IEEE Trans. Audio Electroacoust. 18 1 1970 340 343
13. M. Clerc, and J. Kennedy The particle swarm: explosion, stability, and convergence in a multi-dimensional complex space. IEEE Trans. Evolut. Comput. 6 1 2002 58 73
14. da Silva, A.M., 2006. Induction motor fault diagnostic and monitoring methods. M.S. Thesis. Marquette University, Milwaukee, WI.
15. D. Dasgupta Advances in artificial immune system IEEE Comput. Intell. Mag. 1 4 2006 40 49
16. L.N. de Castro, and F.J. Von Zuben aiNet: an artificial immune network for data analysis H.A. Abbass, R.A. Sarker, C.S. Newton, Data Mining: A Heuristic Approach 2001 Idea Group Publishing USA 231 259
17. L.N. de Castro, and J.I. Timmis Artificial Immune Systems: A New Computational Intelligence Approach 2002 Springer-Verlag London
18. L.N. de Castro, and F.J. Von Zuben Learning and optimization using the clonal selection principles IEEE Trans. Evolut. Comput. 6 3 2002 239 251
19. Dutch, W., 2000. Data sets used for classification: comparison of results. Available from: 〈 http://www.phys.uni.torun.pl/kmk/projects/ datasets.html 〉.
20. Forrest, S., Perelson, S., Allen, L., Cherukuri, R., 1994. Selfnonself-discrimination in a computer. In: Proceedings of IEEE Symposium on Research in Security and Privacy, pp. 202212.
21. F.A. Gonzalez, and D. Dasgupta Anomaly detection using real-valued negative selection Genet. Progr. Evol. Mach. 4 2003 383 403 (Pubitemid 37283494)
22. E. Hart, and J. Timmis Application areas of AIS: the past, the present and the future Appl. Soft Comput. 8 1 2008 191 201
23. K. Igawa, and H. Ohashi A negative selection algorithm for classification and reduction of the noise effect Appl. Soft Comput. 9 2009 431 439
24. N.K. Jerne Towards a network theory of the immune system Annu. Immunol. 125 C 1974 373 389
25. J.-H. Jung, J.-J. Lee, and B.-H. Kwon Online diagnosis of induction motors using MCSA IEEE Trans. Ind. Electron. 53 2006 1842 1852
26. Kennedy, J., Eberhart, R.C., 1995. Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, pp. 19421948.
27. Kim, J., Bentley, P., 2002. Toward an artificial immune system for network intrusion detection: an investigation of dynamic clonal selection. In: Proceedings of the Congress on Evolutionary Computation (CEC 2002), Honolulu, Hawaii, pp. 12441252.
28. A. Lebaroud, and G. Clerc Accurate diagnosis of induction machine faults using optimal timefrequency representations Eng. Appl. Artif. Intell. 22 4 2009 815 822
29. K. Leung, F. Cheong, and C. Cheong Generating complete classifier systems using a simple artificial immune system IEEE Trans. Syst. Man Cybernet.Part B 37 5 2007 1344 1356
30. A.S. Perelson Immune network theory Immunol. Rev. 110 1989 5 36
31. B. Samanta, and C. Nataraj Use of particle swarm optimization for machinery fault detection Eng. Appl. Artif. Intell. 22 2 2009 308 316
32. R. Supangat, N. Ertugrul, W.L. Soong, D.A. Gray, C. Hansen, and J. Grieger Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading IET Proc. Electr. Power Appl 153 2006 848 855 (Pubitemid 44598222)
33. J. Timmis, A. Hone, T. Stibor, and E. Clark Theoretical advances in artificial immune systems Theor. Comput. Sci. 403 2008 11 32
34. I.P. Tsoumas, G. Georgoulas, E.D. Mitronikas, and A.N. Safacas Asynchronous machine rotor fault diagnosis technique using complex wavelets IEEE Trans. Energy Conv. 23 2008 444 459
35. Watkins, A., 2001. AIRS: a resource limited artificial immune classifier. M.S. Thesis. Mississippi State University.
36. Y. Zhong, L. Zhang, B. Huang, and P. Li An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery IEEE Trans. Geosci. Remote Sens. 44 2 2006 420 431 (Pubitemid 43149277)