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...

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Detalles Bibliográficos
Autores principales: Yang, Jinsong, Peng, Yizhen, Xie, Jingsong, Wang, Pengxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228128/
https://www.ncbi.nlm.nih.gov/pubmed/35746338
http://dx.doi.org/10.3390/s22124549

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