By Topic

A fast method for statistical robust optimization

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

5 Author(s)
Cioffi, M. ; CRIS Consorzio Ricerche Innovative, Napoli ; Formisano, A. ; Martone, R. ; Steiner, G.
more authors

In electromagnetic design, to counteract the effect of mechanical tolerances and/or assembly inaccuracies on the performance of "optimized" devices, robust design techniques must be adopted. One of the most effective approaches takes advantage from statistical analysis to improve average performance rather than nominal one during the optimization process. Anyway, suitable measures must be taken to reduce the computational burden required by these strategies. In this paper a novel method for statistical design of electromagnetic power devices is presented, combining the strengths of existing methods while offering superior efficiency. It is inspired by Taguchi's approach and makes use of the unscented transformation. The computational requirements are considerably reduced compared to conventional statistical optimization methods. The proposed approach is implemented for the robust design of a magnetic resonance imaging superconducting device

Published in:

Magnetics, IEEE Transactions on  (Volume:42 ,  Issue: 4 )