Prediction of dynamic hysteresis under highly distorted exciting fields by neural networks and actual frequency transplantation

IEEE Transactions on Magnetics

Volumn 37, Issue 5 I, 2001, Pages 3315-3319

  Salvini, A ^a   Coltelli, C ^a  

^a ROMA TRE UNIVERSITY   (Italy)

Author keywords

Fourier transforms; Hysteresis; Neural network applications; Time frequency analysis

Indexed keywords

FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; MAGNETIC FIELDS; MAGNETIC FLUX; MATHEMATICAL MODELS; NEURAL NETWORKS; TIME DOMAIN ANALYSIS;

ACTUAL FREQUENCY TRANSPLANTATION; DYNAMIC HYSTERESIS; HIGHLY DISTORTED EXCITING FIELD; TIME-FREQUENCY ANALYSIS;

MAGNETIC HYSTERESIS;

EID: 0035440521     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/20.952603     Document Type: Article

References (10)

1. Ferromagnetic material excited by a distorted periodic field source
2. A Fourier descriptor model of hysteresis loops for sinusoidal and distorted waveforms
3. Neural networks and Fourier descriptor macromodeling dynamic hysteresis
4. Hysteresis modeling based on transplantation
5. Hysteresis modeling based on similarity
6. Theory of communication
7. Modeling the effects of eddy current losses on frequency dependent hysteresis in electrically conducting media
8. General properties of power losses in soft ferromagnetic materials