Machine-Learning-Based Wear Prediction in Journal Bearings under Start–Stop Conditions
The present study aims to efficiently predict the wear volume of a journal bearing under start–stop operating conditions. For this purpose, the wear data generated with coupled mixed-elasto-hydrodynamic lubrication (mixed-EHL) and a wear simulation model of a journal bearing are used to develop a ne...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-08-01
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| Colecção: | Lubricants |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2075-4442/12/8/290 |
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