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A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

Chuang Chen Ningyun Lu Bin Jiang Cunsong Wang

自动化学报（英文版）2021，Vol.8Issue(2)：412-422,11.

自动化学报（英文版）2021，Vol.8Issue(2)：412-422,11.DOI:10.1109/JAS.2021.1003835

A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

Chuang Chen ¹Ningyun Lu ¹Bin Jiang ¹Cunsong Wang¹

作者信息

1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
折叠

摘要

关键词

Long short-term memory (LSTM) network/predictive maintenance/remaining useful life (RUL) estimation/risk-averse adaptation/support vector regression (SVR)

Key words

Long short-term memory (LSTM) network/predictive maintenance/remaining useful life (RUL) estimation/risk-averse adaptation/support vector regression (SVR)

引用本文复制引用

Chuang Chen,Ningyun Lu,Bin Jiang,Cunsong Wang..A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance[J].自动化学报（英文版）,2021,8(2):412-422,11.

基金项目

This work was support by Natural Science Foundation of China (61873122). （61873122）

自动化学报（英文版）

OACSCD

ISSN：2329-9266

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