Authors:
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.
Article is available in Polish only.
Project results under the title:
„Development, through R&D work, of the Nazca 4.0 production optimization platform”
co-financed by the European Regional Development Fund (ERDF) under the Regional Operational Programme for the Silesian Voivodeship 2014–2020 (Agreement No. UDA-RPSL.01.02.00-24-047G/19-00).
