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Issue title: 12th International Workshop on 1&2 Dimensional Magnetic Measurement and Testing (2012)
Guest editors: Helmut Pfützner, Georgi Shilyashki and Franz Hofbauer
Article type: Research Article
Authors: Ghalamestani, Setareh Gorjia; * | Vandevelde, Lievena | Dirckx, Joris J.J.b | Guillaume, Patrickc | Melkebeek, Jan A.A.a
Affiliations: [a] Electrical Energy Laboratory, Department of Electrical Energy, Systems and Automation, Ghent University, Ghent, Belgium | [b] Laboratory of Biomedical Physics, University of Antwerp, Antwerp, Belgium | [c] Acoustics and Vibration Research Group, Department of Mechanical Engineering, Free University of Brussels, Brussels, Belgium | Institute of Electrodynamics, Microwave and Circuit Engineering, University of Technology, Vienna, Austria
Correspondence: [*] Corresponding author: Setareh Gorji Ghalamestani, Electrical Energy Laboratory (EELAB), Department of Electrical Energy, Systems and Automation (EESA), Ghent University, Ghent, Belgium. E-mail: [email protected]
Abstract: Magnetostriction, which refers to the deformation of the core material of transformers and electrical machines, is a main contributor to the total noise. In this work, a technique is proposed to calculate the magnetostrictive deformations of the core of the aforementioned devices. This technique is based on finite element approach with an artificial neural network model of the magnetostrictive behaviour of the core material. The strain measurements are carried out by using a dual heterodyne laser interferometer setup. The proposed technique is then applied to a single-phase test transformer core. As a validation, the vibration of the magnetised core of the same setup is measured by using a laser scanning vibrometer.
Keywords: Magnetostriction, transformer, finite element, neural network, vibration measurement
DOI: 10.3233/JAE-141792
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 44, no. 3-4, pp. 295-299, 2014
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