Modeling the hysteresis behavior of soft magnetic materials based on Preisa
ch theory, requires a Preisach distribution function characterising the mat
erial. Although it is possible to obtain all the data for a classical Preis
ach model from experimental first-order curves, obtaining the Preisach dist
ribution function by differentiating this data twice leads to large errors
and even to negative values in the distribution function. This work reports
on how to avoid these errors in the Preisach function when it is computed
starting from measured data. Measured B H-loops are arranged into an Everet
t function, which is then corrected in order to serve as a basis for the Pr
eisach distribution function, The computation method is tried out on a nono
riented, a grain oriented and an iron-powder material.