Prediction of dynamic hysteresis loops of nano-crystalline cores

Hacıismailoğlu M. C., Küçük İ., Derebaşı N.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.36, sa.2, ss.2225-2227, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 2
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.eswa.2007.12.051
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.2225-2227
  • Anahtar Kelimeler: Dynamic hysteresis modelling, Nano-crystalline cores, Neural network, TOROIDAL CORES
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Dynamic hysteresis loops of a range of nano-crystalline cores have been obtained over a wide frequency range (1-50 kHz). A dynamic hysteresis model front measurements using an artificial neural network trained by the delta-bar-delta learning algorithm has been developed. The input parameters include the geometrical dimensions of cores, peak magnetic induction and magnetizing frequency. The results show the neural network model has an acceptable estimation capability for dynamic hysteresis loops of toroidal nano-crystalline cores. (C) 2007 Elsevier Ltd. All rights reserved.