RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction

	RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction
	Qiwu Zhu; Qingyu Xiong; Zhengyi Yang; Yang Yu
刊名	IEEE/CAA Journal of Automatica Sinica
	2023
卷号	10 期号:7 页码:1640-1642
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123369
内容类型	期刊论文
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.