Machine-Learning-Based Wear Prediction in Journal Bearings under Start–Stop Conditions
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.3390/lubricants12080290
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2024
- Creator
- DOI
-
10.18154/RWTH-2024-07752
- URN
-
urn:nbn:de:101:1-2502200041293.174936694062
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- König, Florian
- Wirsing, Florian
- Singh, Ankit
- Jacobs, Georg
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2024
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Verschleissverhalten hydraulischer Pumpen und Ventile beim Betrieb mit feststoffverschmutztem Öl
Influence of Operating Conditions and Additive Concentration on the Formation of Anti-wear Layers in Roller Bearings
Condition Monitoring of roller bearings using Acoustic Emission
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