Abstract: A computer-implemented method for validating simulation data of a simulation model of a technical system. The method includes: providing simulation data including a number of simulation signals and providing reference data including a number of reference signals, the simulation signals and reference signals being multidimensional signals, at least two-dimensional signals; and determining a score map between a first probability distribution including the simulation data and a second probability distribution including the reference data using the Wasserstein metric, the determination of the score map including: creating a score matrix based on the simulation signals and the reference signals; converting the score matrix into a cost matrix; calculating optimal transport costs for the cost matrix, and converting the optimal transport costs into the score map.

Abstract: A computer-implemented method for validating simulation data of a simulation model of a technical system. The method includes the following steps: providing a number n of simulation signals for a number N of QOIs (Quantities of Interest), of the simulation model and providing a number m of reference signals for a number N of QOIs of a reference corresponding to the QOIs of the simulation model; determining a particular metric for the N QOIs, determining an overall metric based on the N metrics, at least one metric of the N metrics being taken into consideration in weighted form in the overall metric using a respective weighting coefficient, and determining an overall difference between the n simulation signals and m reference signals, using the Wasserstein metric based on the overall metric.