Abstract: A computer-implemented method for determining a belt tension of a drive belt of a machine, based on a sound recording, including the steps of initiating a recording of sound, recording the sound during a primary time interval, discretising the sound into time samples, thereby obtaining a data set, filtering the data set, determining an average excitation spectrum, compensating for the average excitation spectrum, determining a confidence coefficient based on a highest and second highest extremum, and when the confidence coefficient exceeds a predefined value, determining the belt tension based on a frequency of the highest extremum.

Abstract: A magnetic resonance imaging method involves acquisition of magnetic resonance signals with application of diffusion weighting at a plurality of diffusion weighting strengths diffusion directions. An object dataset is reconstructed from the magnetic resonance signals in which apparent diffusion coefficients are assigned. The occurrence of one single or several diffusion directions in identified for individual voxels. In this way account is taken of crossing fibres.