Data-driven remaining useful life prediction based on domain adaptation

As an important part of prognostics and health management, remaining useful life (RUL) prediction can provide users and managers with system life information and improve the reliability of maintenance systems. Data-driven methods are powerful tools for RUL prediction because of their great modeling...

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Detalles Bibliográficos
Autores principales: Wen, Bin cheng, Xiao, Ming qing, Wang, Xue qi, Zhao, Xin, Li, Jian feng, Chen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444085/
https://www.ncbi.nlm.nih.gov/pubmed/34604520
http://dx.doi.org/10.7717/peerj-cs.690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444085/
https://www.ncbi.nlm.nih.gov/pubmed/34604520
http://dx.doi.org/10.7717/peerj-cs.690

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