Optimization of Distribution Functions for the Inverse Preisach Model by Genetic Algorithms

Mounir Amir; Mourad Zergoug; Siham Azzi; Mouhamed Sahnoun; Mounir Boudjerda

doi:10.4028/www.scientific.net/KEM.644.240

Paper Titles

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Preparation of Fe(Pt,Pd) Alloy Thin Films with Flat Surfaces on MgO(001) Single-Crystal Substrates
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Magneto-Optical Sensor Based on Fiber Bragg Gratings and a Magnetostrictive Material
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Dynamic Sensitivity and Noise Floor of a Bonded Magneto(Elasto)Electric Laminate for Low Frequency Magnetic Field Sensing under Strain Modulations
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Optimization of Distribution Functions for the Inverse Preisach Model by Genetic Algorithms
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 644Optimization of Distribution Functions for the...

Optimization of Distribution Functions for the Inverse Preisach Model by Genetic Algorithms

Abstract:

In the NDT procedure is very important to be informed about modification happened in structure in particular in the ISI. The prediction life can be studied by using the inverse problem. In our study an efficient method, called the inverse distribution function, for calculating the magnetic field strength H from the flux density B through the Preisach model is developed. According to this technique, H can be obtained from B by determining the parameters of the proposed distribution function using genetic algorithms. Various distributions functions will be studied to determine which function gives the best distribution for modeling the hysteresis loop and give maximum information with minimum error on what happened in the microstructure.

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Periodical:

Key Engineering Materials (Volume 644)

Pages:

240-249

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.644.240

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Online since:

May 2015

Authors:

Mounir Amir*, Mourad Zergoug, Siham Azzi, Mouhamed Sahnoun, Mounir Boudjerda

Keywords:

Ferromagnetic Material, Genetic Algorithms, Hysteresis Curve, Inverse Distribution Function, Preisach Model

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