DocumentCode :
784594
Title :
Identification of an Equivalent-Source System for Magnetic Stray Field Evaluation
Author :
Canova, Aldo ; Freschi, Fabio ; Repetto, Maurizio ; Tartaglia, Michele
Author_Institution :
Dept. of Electr. Eng., Politec. di Torino, Torino
Volume :
24
Issue :
3
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
1352
Lastpage :
1358
Abstract :
The aim of this paper is to propose an approximate technique for the reconstruction of magnetic-field distribution in the proximity of unknown sources. The method is based on two nested optimization algorithms-the external one is responsible for the definition of the geometry of the equivalent-source system, while an internal procedure based on least-square minimization is used to identify the currents of the sources. The goal is to minimize the deviation between the reconstructed and actual field. It is shown that under magnetic quasi stationary conditions, the proposed approach is able to reconstruct the field distribution of a complex 3-D environment as medium-voltage/low-voltage substations. The main limitation is the availability of magnitude and phase of the measured magnetic field. This information is not usually provided by standard probes but can be obtained by a proper measurement setup. The proposed technique allows accurate reconstruction of the magnetic field even in the case of many sources without requiring their accurate geometrical description and is suitable for the evaluation of stray fields and the design of magnetic shielding.
Keywords :
computational electromagnetics; electromagnetic shielding; magnetic fields; optimization; equivalent source system; magnetic field distribution; magnetic quasi stationary condition; magnetic shielding; magnetic stray field evaluation; optimization algorithm; Identification; equivalent-source system; magnetic fields;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2008.2007015
Filename :
4895325
Link To Document :
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