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...

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Detalles Bibliográficos
Autores principales: Liu, Bingguo, Gao, Zhuo, Lu, Binghui, Dong, Hangcheng, An, Zeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572251/
https://www.ncbi.nlm.nih.gov/pubmed/36236501
http://dx.doi.org/10.3390/s22197402

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