  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.
