Wojciech Ptasiński, Artur Pollak, Sebastian Temich, Damian Gąsiorek
Napędy i Sterowanie, AutomatykaB2B.pl
Today’s aspects of Industry 4.0 are focused on analyzing data, which is therefore crucial for maintaining the continuity of production processes. The aim of the study was to determine the classification of anomalies for bearing damage using neural networks.
In this article, tests were carried out to detect anomalies in ball bearings with two types of signals, i.e. sound and vibration.