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Deep Learning-Based Remaining Useful Life Estimation of Bearings with Time-Frequency Information
In modern industrial production, the prediction ability of remaining useful life of bearings directly affects the safety and stability of the system. Traditional methods require rigorous physical modeling and perform poorly for complex systems. In this paper, an end-to-end remaining useful life pred...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572251/ https://www.ncbi.nlm.nih.gov/pubmed/36236501 http://dx.doi.org/10.3390/s22197402 |