DocumentCode
1390005
Title
Influence of Noise Temporal Correlation on Magnetization Spectra and Thermal Relaxations in Soft Magnetic Materials
Author
Dimian, Mihai ; Adedoyin, Ayodeji ; Gîndulescu, Anca ; Andrei, Petru
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Stefan cel Mare Univ., Suceava, Romania
Volume
46
Issue
2
fYear
2010
Firstpage
266
Lastpage
269
Abstract
The analysis of the noise temporal correlation effects on spectral properties and relaxation phenomena in hysteretic systems driven by arbitrary colored noise processes is presented. The calculations are performed under the framework of Monte Carlo techniques for simulating the stochastic processes and Preisach formalism for modeling magnetic materials. It is found that the correlation time of the input signal significantly influences the spectral and relaxation properties of the hysteretic system at moderate and low noise strength. Both the power spectral density at low frequencies and the viscosity coefficient increase with the correlation time of the input. The high-frequency spectrum of the output is less affected by the correlation time and decays as 1/f2 in the case of the Ornstein-Uhlenbeck (OU) noise.
Keywords
Monte Carlo methods; magnetic hysteresis; magnetic noise; soft magnetic materials; stochastic processes; viscosity; Monte Carlo techniques; Ornstein-Uhlenbeck noise; Preisach formalism; arbitrary colored noise processes; high-frequency spectrum; hysteretic systems; magnetic material modeling; magnetization spectra; noise strength; noise temporal correlation; power spectral density; soft magnetic materials; stochastic processes; thermal relaxations; time-decay correlation; viscosity coefficient; Colored noise; Low-frequency noise; Magnetic analysis; Magnetic hysteresis; Magnetic noise; Magnetization; Monte Carlo methods; Power system modeling; Soft magnetic materials; Stochastic processes; Hysteresis; noise; spectral analysis; thermal relaxations;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2009.2033342
Filename
5393177
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