A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction

Remaining useful life prediction is one of the essential processes for machine system prognostics and health management. Although there are many new approaches based on deep learning for remaining useful life prediction emerging in recent years, these methods still have the following weaknesses: (1)...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yan, Liu, Zhenzhen, Zuo, Hongfu, Jiang, Heng, Li, Pengtao, Li, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371019/
https://www.ncbi.nlm.nih.gov/pubmed/35957236
http://dx.doi.org/10.3390/s22155680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371019/
https://www.ncbi.nlm.nih.gov/pubmed/35957236
http://dx.doi.org/10.3390/s22155680

Ejemplares similares