Affiliations: [a] Electrical Engineering Department, University of Skikda, Skikda, Algeria | [b] Department of Physics, University of Constantine, Constantine, Algeria | [c] IREENA-Université de Nantes, PRES-L'UNAM, IUT, Saint-Nazaire, France
Correspondence:
[*]
Corresponding author: Nouicer Abdelmadjid, Electrical
Engineering Department, University of Skikda, Skikda, Algeria. E-mail:
[email protected]
Abstract: The magnetic behavior of materials is highly sensitive to the
applied stress, which is subject of this paper. In magnetostrictive materials,
the relationship B(H) is strongly related to the applied mechanical stresses.
The purpose of this paper is to present a simple method to identify this
relation for any value of stress σ. The proposed approach is based on the
knowledge of the magnetic flux density spectrum for different stress σ.
So, a feed-forward neural network is trained to learn the relation between the
rank of harmonics, stress and the amplitude of each harmonic. To construct the
hysteresis loop for a new value of the stress σ, the neural network
predicts the spectrum of the magnetic flux density B, which is transformed back
to the time domain.
