Künstliche Intelligenz für Ultraschallmessungen zur Vorhersage von Wälzlager-Ausfällen

Description

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.

Details

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

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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