Artificial intelligence combined with hybrid FEM-BE techniques for global transformer optimization

IEEE Transactions on Magnetics

Volumn 43, Issue 4, 2007, Pages 1633-1636

  Amoiralis, Eleftherios I ^a   Georgilakis, Pavlos S ^a   Kefalas, Themistoklis D ^b   Tsili, Marina A ^b   Kladas, Antonios G ^b  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Adaptive training; Artificial intelligence (AI); Artificial neural networks (ANNs); Decision trees (DTs); Finite element method boundary element (FEM BE) techniques; Transformer design optimization; Transformer winding

Indexed keywords

BOUNDARY ELEMENT METHOD; COMPUTER SIMULATION; DECISION TREES; FINITE ELEMENT METHOD; GLOBAL OPTIMIZATION; NEURAL NETWORKS; POWER TRANSFORMERS; TRANSFORMER WINDINGS;

ADAPTIVE TRAINING; HYBRID NUMERICAL MODEL; MATERIAL CLASSIFICATION; TRANSFORMER DESIGN OPTIMIZATION;

ARTIFICIAL INTELLIGENCE;

EID: 33947664007     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2006.892258     Document Type: Article

References (9)

1. P. S. Georgilakis, N. D. Hatziargyriou, and D. Paparigas, "AI helps reduce transformer iron losses," IEEE Comput. Appl. Power, vol. 12, no. 4, pp. 41-46, Oct. 1999.
2. C. Nussbaum, H. Pfützner, T. Booth, N. Baumgartinger, A. Ilo, and M. Clabian, "Neural networks for the prediction of magnetic transformer core characteristics," IEEE Trans. Magn., vol. 36, no. 1, pp. 313-329, Jan. 2000.
3. N. Tutkun and A. Moses, "Design optimisation of a typical strip-wound toroidal core using genetic algorithms," J. Magnet. Magn. Mater., vol. 277, no. 1-2, pp. 216-220, 2004.
4. P. S. Georgilakis, M. A. Tsili, and A. T. Souflaris, "A heuristic solution to the transformer manufacturing cost optimization problem," J. Mater. Process. Technol., vol. 181, no. 1-3, pp. 260-266, 2007.
5. Y. Rahmat-Samii and E. Michielssen, Electromagnetic Optimization by Genetic Algorithms. New York: Wiley, 1999.
6. M. A. Tsili, A. G. Kladas, P. S. Georgilakis, A. T. Souflaris, and D. G. Paparigas, "Geometry optimization of magnetic shunts in power transformers based on a particular hybrid finite element - Boundary element model and sensitivity analysis," IEEE Trans. Magn., vol. 41, no. 5, pp. 1776-1779, May 2005.
7. L. Wehenkel, Automatic Learning Techniques in Power Systems. Norwell, MA: Kluwer, 1998.
8. G. Zhang, "Neural networks for classification: a survey," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 30, no. 4, pp. 451-462, Nov. 2000.
9. H. Demuth and M. Beale, Neural Network Toolbox for Use With MATLAB. Natick, MA: MathWorks, 2001, user's guide, ver. 4.