Inverse heat source problem and experimental design for determining iron loss distribution
Numerical Analysis
2020-10-27 v2 Numerical Analysis
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.
Cite
@article{arxiv.2003.10395,
title = {Inverse heat source problem and experimental design for determining iron loss distribution},
author = {Antti Hannukainen and Nuutti Hyvönen and Lauri Perkkiö},
journal= {arXiv preprint arXiv:2003.10395},
year = {2020}
}
Comments
30 pages, 15 figures