Cart (Loading....) | Create Account
Close category search window
 

Current Density Reconstruction in Vacuum Arcs by Inverting Magnetic Field Data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ghezzi, L. ; ABB S.p.A., Vittuone, Italy ; Piva, D. ; Di Rienzo, L.

The inverse problem of reconstructing a current distribution from measurements of its magnetic field is considered. The focus is on vacuum arcs in high voltage, vacuum circuit breakers. The feasibility and applicability of the standard method of least squares approximation by regularized singular value decomposition is studied, with reference to typical geometries and conditions that are met in industrial applications. Several factors that affect the quality of the solution to the identification problem are studied, including the number of sensors, the effect of experimental noise and of regularization methods and their parameters. The functional dependence of the minimal error attainable with a given regularization method from the signal-to-noise ratio has been deduced. A theoretical upper bound is provided on the error on current reconstruction, and confirmed by the numerical tests.

Published in:

Magnetics, IEEE Transactions on  (Volume:48 ,  Issue: 8 )

Date of Publication:

Aug. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.