Influence of Magnetic Measurement Modeling on the Solution of Magnetostatic Inverse Problems Applied to Current Distribution Reconstruction in Switching Air Arcs

摘要

This paper presents a systematical analysis of the influence of magnetic measurement modeling on the regularized solution of magnetostatic inverse problems to reconstruct a current distribution. The focus is on the modeling process of a planar sensor array used to perform the spatially resolved magnetic measurements considering the active area of sensors. The results show inversion error produced by the modeling process becomes more significant when the signal-to-noise ratio is large.