Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction | |
Ren, Lei; Cheng, Xuejun; Wang, Xiaokang; Cui, Jin; Zhang, Lin | |
刊名 | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE |
2019 | |
卷号 | 94页码:601-609 |
关键词 | Internet of things Smart data Remaining useful life prediction Deep learning Gated Recurrent Unit Network |
ISSN号 | 0167-739X |
DOI | 10.1016/j.future.2018.12.009 |
URL标识 | 查看原文 |
收录类别 | SCIE ; EI |
WOS记录号 | WOS:000460845200049 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5922398 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Ren, Lei,Cheng, Xuejun,Wang, Xiaokang,et al. Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2019,94:601-609. |
APA | Ren, Lei,Cheng, Xuejun,Wang, Xiaokang,Cui, Jin,&Zhang, Lin.(2019).Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,94,601-609. |
MLA | Ren, Lei,et al."Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 94(2019):601-609. |
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