Inverse heat source problem and experimental design for determining iron loss distribution
Loading...
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2021-03
Major/Subject
Mcode
Degree programme
Language
en
Pages
28
Series
SIAM Journal on Scientific Computing, Volume 43, issue 2, pp. B243-B270
Abstract
Iron loss determination in the magnetic core of an electrical machine, such as a motor or a transformer, is formulated as an inverse heat source problem. The sensor positions inside the object are optimized in order to minimize the uncertainty in the reconstruction in the sense of the A-optimality of Bayesian experimental design. This paper focuses on the problem formulation and an efficient numerical solution of the discretized sensor optimization and source reconstruction problems. A semirealistic linear model is discretized by finite elements and studied numerically.Description
Keywords
Bayesian inversion, Electric machine, Inverse source problem, Iron loss, Optimal experimental design
Other note
Citation
Hannukainen, A, Hyvonen, N & Perkkiö, L 2021, ' Inverse heat source problem and experimental design for determining iron loss distribution ', SIAM Journal on Scientific Computing, vol. 43, no. 2, pp. B243-B270 . https://doi.org/10.1137/20M1329986