Künstliche Intelligenz für Ultraschallmessungen zur Vorhersage von Wälzlager-Ausfällen


The objective of the project is the implementation of a future-oriented, innovative and unique Artificial-Intelligence-powered systems for predicting the remaining service life of rolling bearings. Thereby will develop new and innovative algorithms and AI models for the automated calculation of Remaining service life of rolling bearings in various production machines in different environments, in order to make the evaluation and analysis of the measurements easy. enable.


Duration 01/11/2020 - 30/04/2022
Funding FFG

Department for Integrated Sensor Systems

Center for Micro and Nano Sensors

Principle investigator for the project (Danube University Krems) Univ.-Prof. Dr. Hubert Brückl
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