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Spotlight on transformer design

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2 Author(s)
Georgilakis, P.S. ; Dept. of Production Eng. & Manage., Tech. Univ. Crete, Chania ; Amoiralis, E.I.

This paper presents an integrated artificial intelligence technique to achieve an optimum design of a transformer. AI is used to reach an optimum transformer design solution for the winding material selection problem. To be more precise, decision trees (DTs) and adaptive trained neural networks (ATNNs) are combined with the aim of selecting the appropriate winding material (Cu or Al) to design an optimum distribution transformer. Both methodologies have emerged as important tools for classification

Published in:

Power and Energy Magazine, IEEE  (Volume:5 ,  Issue: 1 )