Abstract
This study introduces a method to predict the remaining useful life (RUL) of plain bearings operating under stationary, wear-critical conditions. In this method, the transient wear data of a coupled elastohydrodynamic lubrication (mixed-EHL) and wear simulation approach is used to parametrize a statistical, linear degradation model. The method incorporates Bayesian inference to update the linear degradation model throughout the runtime and thereby consider the transient, system-dependent wear progression within the RUL prediction. A case study is used to show the suitability of the proposed method. The results show that the method can be applied to three distinct types of post-wearing-in behavior: wearing-in with subsequent hydrodynamic, stationary wear, and progressive wear operation. While hydrodynamic operation leads to an infinite lifetime, the method is successfully applied to predict RUL in cases with stationary and progressive wear.
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Acknowledgements
This work was funded by the Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the German State of North Rhine-Westphalia (MKW) under the Excellence Strategy of the Federal Government and the Länder, the Deutsche Forschungsgemeinschaft (DFG, projects: GRK 1856, Integrated Energy Supply Modules for Roadbound E-Mobility). Florian Wirsing thanks RWTH Aachen University for financial support through the RWTH Aachen–University of Alberta Junior Research Fellowship.
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Florian KÖNIG. He received his B.S., M.S. (2014), and Ph.D. (2020) degrees in mechanical engineering from the RWTH Aachen University, Germany, focusing on mechanical engineering and tribology. Currently, he is a department head of the tribology group at the Institute for Machine Elements and Systems Engineering, Germany. His research interests include the friction, wear, and lubrication behavior of bearings, surface texturing, condition monitoring, and machine learning methods.
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König, F., Wirsing, F., Jacobs, G. et al. Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions. Friction 12, 1272–1282 (2024). https://doi.org/10.1007/s40544-023-0814-y
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DOI: https://doi.org/10.1007/s40544-023-0814-y