Multilayered perceptron neural networks to compute energy losses in magnetic cores

Kucuk, Ilker

doi:10.1016/j.jmmm.2006.03.043

Multilayered perceptron neural networks to compute energy losses in magnetic cores

Atıf İçin Kopyala

Kucuk I.

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, cilt.307, sa.1, ss.53-61, 2006 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 307 Sayı: 1
Basım Tarihi: 2006
Doi Numarası: 10.1016/j.jmmm.2006.03.043
Dergi Adı: JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.53-61
Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

This paper presents a new approach based on multilayered perceptrons (MLPs) to compute the specific energy losses of toroidal wound cores built from 3% SiFe 0.27 mm thick M4, 0.1 and 0.08 mm thin gauge electrical steel strips. The MLP has been trained by a back-propagation and extended delta-bar-delta learning algorithm. The results obtained by using the MLP model were compared with a commonly used conventional method. The comparison has shown that the proposed model improved loss estimation with respect to the conventional method. (c) 2006 Elsevier B.V. All rights reserved.