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Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification
To reduce the economic losses caused by bearing failures and prevent safety accidents, it is necessary to develop an effective method to predict the remaining useful life (RUL) of the rolling bearing. However, the degradation inside the bearing is difficult to monitor in real-time. Meanwhile, extern...
| 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/PMC9228128/ https://www.ncbi.nlm.nih.gov/pubmed/35746338 http://dx.doi.org/10.3390/s22124549 |