A Neural Network Model Of Magnetic Hysteresis For Computational Magnetics
作者： H.H. Saliah , D.A. Lowther , B. Forghani
DOI: 10.1109/20.619691
关键词:
摘要: A neural network to implement a hysteresis model for magnetic material within finite element program is described. It shown that such system can match the results produced by Preisach but time overhead be considerably reduced thus making feasible solution of large problems involving hysteretic materials.
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sci-hub.se 参考文章(7)
Q.F. Xu, A. Refsum, Analysis of some numerical models of hysteresis loops Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on. pp. 734- 737 ,(1993)
F. Vajda, E.D. Torre, Hierarchy of scalar hysteresis models for magnetic recording media IEEE Transactions on Magnetics. ,vol. 32, pp. 1112- 1115 ,(1996) , 10.1109/20.497437
Andrzej Nafalski, Bradley G. Hoskins, Anjan Kundu, Tan Doan, The use of neural networks in describing magnetisation phenomena Journal of Magnetism and Magnetic Materials. ,vol. 160, pp. 84- 86 ,(1996) , 10.1016/0304-8853(96)00150-3
S. MANDAYAM, L. UDPA, S. S. UDPA, PARAMETRIC MODELS FOR REPRESENTING HYSTERESIS CURVES Nondestructive Testing and Evaluation. ,vol. 11, pp. 235- 245 ,(1994) , 10.1080/10589759408956404
F. Ossart, R. Davidson, S.H. Charap, A 3D moving vector Preisach hysteresis model ieee conference on electromagnetic field computation. ,vol. 31, pp. 1785- 1788 ,(1995) , 10.1109/20.376382
M.L. Hodgdon, Mathematical theory and calculations of magnetic hysteresis curves IEEE Transactions on Magnetics. ,vol. 24, pp. 3120- 3122 ,(1988) , 10.1109/20.92354
G. Miano, C. Serpico, L. Verolino, C. Visone, Comparison of different hysteresis models in FE analysis of magnetic field diffusion ieee conference on electromagnetic field computation. ,vol. 31, pp. 1789- 1792 ,(1995) , 10.1109/20.376383