PL EN


Preferences help
enabled [disable] Abstract
Number of results
2008 | 113 | 1 | 147-150
Article title

Modelling of Power Loss in Electrical Steels

Content
Title variants
Languages of publication
EN
Abstracts
EN
This paper presents a new artificial neural network approach based on loss separation model to compute power loss on different types of electrical steels. The network was trained by a Levenberg-Marquardt algorithm. The results obtained by using the proposed model were compared with a commonly used conventional model. The comparison has shown that the neural network model is in good agreement with experimental data with respect to the conventional model.
Keywords
EN
Contributors
author
  • Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059 Bursa, Turkey
author
  • Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059 Bursa, Turkey
  • Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059 Bursa, Turkey
author
  • Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059 Bursa, Turkey
References
  • 1. I. Kucuk, N. Derebasi, Physica B, Condens. Matter 372, 260 (2006)
  • 2. S. Haykin, A Comprehensive Foundation, Macmillan, New York 1994
  • 3. G. Bertotti, IEEE Trans. Magn. 24, 621 (1988)
  • 4. N. Tutkun, J. Magn. Magn. Mater. 300, 506 (2006)
  • 5. F. Wang, V.K. Devabhaktuni, C. Xi, Q. Zhang, Int. J. RF Microwave Computer-Aided Eng. 9, 216 (1999)
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv113n1036kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.