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 |
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| Department | |
| Principle investigator for the project (University for Continuing Education Krems) | Univ.-Prof. Dr. Hubert Brückl |
| Project members |
Dipl.-Ing. Matthias Kahr, BSc
|
Lectures
The Role of Continuing Education in Preventing Cognitive Wellbeing of Older Adults: Is there any evidence?
ELOA Conference "Older adults’ well-being: The contributions of education and learning", Faro, Portugal, 11/10/2018
The role of continuing education in preventing cognitive decline and dementia?
8. Werkstattgespräch Weiterbildungsforschung, Wien, Österreich, 17/05/2018
