Influence of Measurement Errors on Transformer Inrush Currents Using Different Material Models

Inrush currents are an important factor in the design of electrical machines. The uncertainties in measurements of magnetic materials parameters propagate via fitted material laws into the simulation results. In this paper, generalized polynomial chaos is used to compute the solution statistics and perform an analysis of variance; by this, it is revealed which measurement points are the most influential. As fitting strategies, we compare the result for the Brauer model and a smoothing spline approach. This is an essential step forward compared with considering only the uncertainty quantification for analytical material curve models.