This paper aims to analyse the results of the comparative study of the characteristic frequencies, in terms of Power Spectral Density (PSD), generated by an SKF6322 bearing in a rotational blower. Among all the analysed frequencies, we have focused on the ones generated
by the shaft rotation speed, the one on the blades and the ones of the SKF6322 bearing, such
as the tracks, the cage and the balls. For this study, we followed the ISO 10816 criteria, both
in the sampling part and in the data analysis, using the speed values in terms of PSD, which
improves the results in both high and low frequencies. This study can be used to predict the
performance of bearings and their future failure, determining the most decisive frequency,
the one with the highest incidence and the relative influence of each one on the different
positions and monitoring coordinate axes. This procedure can be applied to improve the predictive maintenance protocol in order to improve the performance, efficiency and reliability
of the equipment with bearings in their systems.