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

Qiwu Zhu Qingyu Xiong Zhengyi Yang Yang Yu

自动化学报（英文版）2023，Vol.10Issue(7)：1640-1642,3.

自动化学报（英文版）2023，Vol.10Issue(7)：1640-1642,3.DOI:10.1109/JAS.2023.123369

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

Qiwu Zhu ¹Qingyu Xiong ¹Zhengyi Yang ¹Yang Yu²

作者信息

1. School of Big Data&Software Engineering,Chongqing University,Chongqing 400044||Key Laboratory of Dependable Service Computing in Cyber Physi-cal Society,Ministry of Education,Chongqing 400044,China
2. School of Biology and Engineering,Guizhou Medical University,Guiyang 550025,China
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摘要

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Qiwu Zhu,Qingyu Xiong,Zhengyi Yang,Yang Yu..RGCNU:Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction[J].自动化学报（英文版）,2023,10(7):1640-1642,3.

基金项目

This work was supported by the Major Spe-cial Program of Chongqing Science&Technology Commission(CSTC 2019jscx-zdztzxX0031),Graduate Scientific Research and Innovation Foundation of Chongqing(CYB21068,CYS22128). （CSTC 2019jscx-zdztzxX0031）

自动化学报（英文版）

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ISSN：2329-9266

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