Application of a group search optimization based Artificial Neural Network to machine condition monitoring

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Volumn , Issue , 2008, Pages 1260-1266

  He, Shan ^a   Li, Xiaoli ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CONNECTION WEIGHTS; GLOBAL SEARCHES; GROUP SEARCH OPTIMIZER; MACHINE CONDITION MONITORING; OPTIMIZATION ALGORITHMS; PARTICLE SWARM OPTIMIZER; SEARCH OPTIMIZATIONS; ULTRASOUND DATUMS;

ACOUSTIC WAVES; BACKPROPAGATION; DIESEL ENGINES; ELECTRIC FAULT LOCATION; EVOLUTIONARY ALGORITHMS; FACTORY AUTOMATION; GENETIC ALGORITHMS; MACHINERY; NEURAL NETWORKS; OPTIMIZATION; POPULATION STATISTICS; SEMICONDUCTOR QUANTUM DOTS; SYSTEMS ANALYSIS; THEOREM PROVING; TREES (MATHEMATICS); ULTRASONICS; VEGETATION;

CONDITION MONITORING;

EID: 56349118419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ETFA.2008.4638562     Document Type: Conference Paper

References (16)

1. C. J. Barnard and R. M. Sibly. Producers and scroungers: a general model and its application to captive flocks of house sparrows. Animal Behaviour, 29:543-550, 1981.
2. J. W. Bell. Searching Behaviour - The Behavioural Ecology of Finding Resources. Chapman and Hall Animal Behaviour Series. Chapman and Hall, 1990.
3. I. Couzin, J. Krause, N. Franks, and S. Levin. Effective leadership and decision-making in animal groups on the move. Nature, 434:513-516, Feb. 2005.
4. A. F. G. Dixon. An experimental study of the searching behaviour of the predatory coccinellid beetle adalia decempunctata. J. Anim. Ecol., 28:259-281, 1959.
5. D. B. Dusenbery. Ranging strategies. Journal of Theoretical Biology, 136:309-316, 1989.
6. D. G. C. Harper. Competitive foraging in mallards: 'ideal free' ducks. Animal Behaviour, 30:575-584, 1988.
7. S. Haykin. Neural Networks. A Comprehensive Foundation. Prentice Hall, New Jersey, USA, 1999.
8. S. He, Q. H. Wu, and J. R. Saunders. Group search optimizer - an optimization algorithm inspired by animal behavioral ecology. Submitted to IEEE Trans. on Evolutionary Computation.
9. X. Li, Y. Ou, X. P. Guan, and R. Du. Ram velocity control in plastic injection molding machines with higher order iterative learning. Control and Intelligent Systems, 34:64-71, 2006.
10. X. Li. Detection of tool flute breakage in end milling using feed-motor current signatures. IEEE/ASME Transactions on Mechatronics, 6:376-385, 2001.
11. X. Li and R. Du. Condition monitoring using latent process model with an application to sheet metal stamping processes. ASME Trans. J. Manuf. Sci. Engg., 127:376-385, 2005.
12. X. Li, R. Du, B. Denkena, and J. Imiela. Tool breakage monitoring using motor current signals for machine tools with linear motors. IEEE Trans. Industrial Electronic, 52:1403-1409, 2005.
13. X. Li, Y. Yao, and Y. Z. On-line tool condition monitoring using wavelet fuzzy neural network. Journal of Intelligent Manufacturing, 8:271-276, 1997.
14. W. J. O'Brien, B. I. Evans, and G. L. Howick. A new view of the predation cycle of a planktivorous fish, white crappie (pomoxis annularis). Can. J. Fish. Aquat. Sci., 43:1894-1899, 1986.
15. G. M. Viswanathan, S. V. Buldyrev, S. Havlin, M. G. da Luz, E. Raposo, and H. E. Stanley. Optimizing the success of random searches. Nature, 401(911-914), 1999.
16. D. H. Wolpert. A mathematical theory of generalization. Complex Systems, 4(2): 151-249, 1990.