Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing

发表于 2026-8-19 18:17:05

期刊：Reliability Engineering & System Safety

文献作者：Shaojiang Dong; Jiafeng Xiao; Xiaolin Hu; Nengwei Fang; Lanhui Liu; Jinbao Yao

出版日期：2023-2-

DOI号：10.1016/j.ress.2022.108914

下载链接：https://www.sciencedirect.com/sc ... 951832022005294/pdf

文献链接：https://doi.org/10.1016/j.ress.2022.108914

当前文献来源于 Elsevier BV。

备注信息：

发表于 2026-8-19 18:17:06

: 当前求助已完成，请重新发起求助。
已完结状态的附件将会在24小时内删除。

[Elsevier/Sciencedirect] Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing

已采纳

同分类求助

最新回复

站点公告

今日热心研友

（热心研友QQ群）

[Elsevier/Sciencedirect] Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing 一键复制