StUpPD_431-22
beArIngs - AI-based wear monitoring of sliding bearings in dynamically operating machinery
| Grant period | 2022-10-01 -2023-03-31 |
| Funding body | Exploratory Research Space der RWTH Aachen |
| ERS | |
| Identifier | G:(DE-82)EXS-SU-StUpPD_431-22 |
⇧ Start-Up for Juniorprofessor and Postdocs (EXS) ⇧
All known publications ...
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Journal Article
Wear and life predictions for bearings considering simulation-to-reality variability
Mechanical systems and signal processing : mssp 229, 112498 (2025) [10.1016/j.ymssp.2025.112498]
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Journal Article/Contribution to a book
Machine-Learning-Based Wear Prediction in Journal Bearings under Start–Stop Conditions
Lubricants : open access journal 12(8), 290 (2024) [10.3390/lubricants12080290] special issue: "Tribology in Germany: Latest Research and Development / Special Issue Editor: Prof. Dr. Dirk Bartel, Guest Editor"
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Contribution to a book/Contribution to a conference proceedings
Acoustic Emission-Based Detection of Starved Conditions to Prevent Adhesive Wear Damage in Journal Bearings
Proceedings of ITS-IFToMM 2024 : 5th International Tribology Symposium of IFToMM / Enrico Ciulli · Alessandro Ruggiero Editors
5. International Tribology Symposium of IFToMM, ITS-IFToMM 2024, SalernoSalerno, Italy, 6 May 2024 - 8 May 2024
Cham, Switzerland : Springer, Mechanisms and machine science 160, 235-243 (2024) [10.1007/978-3-031-62616-6_24]
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Journal Article/Contribution to a book
Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions
Friction 12(6), 1272-1282 (2023) [10.1007/s40544-023-0814-y] special issue: "Special Issue on Artificial Intelligence and Emerging Computational Approaches for Tribology"
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All known publications ...
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