中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction

文献类型:期刊论文

作者Qiwu Zhu; Qingyu Xiong; Zhengyi Yang; Yang Yu
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:7页码:1640-1642
ISSN号2329-9266
DOI10.1109/JAS.2023.123369
源URL[http://ir.ia.ac.cn/handle/173211/52004]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Qiwu Zhu,Qingyu Xiong,Zhengyi Yang,et al. RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(7):1640-1642.
APA Qiwu Zhu,Qingyu Xiong,Zhengyi Yang,&Yang Yu.(2023).RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction.IEEE/CAA Journal of Automatica Sinica,10(7),1640-1642.
MLA Qiwu Zhu,et al."RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction".IEEE/CAA Journal of Automatica Sinica 10.7(2023):1640-1642.

入库方式: OAI收割

来源:自动化研究所

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