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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
DOI10.1016/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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