Remaining useful life prediction of bearings by a new reinforced memory GRU network-Reference-Cited by-同舟云学术

Remaining useful life prediction of bearings by a new reinforced memory GRU network

Published:2022-08 Issue: Volume:53 Page:101682
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Zhou Jianghong,Qin Yi,Chen Dingliang,Liu Fuqiang,Qian Quan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference44 articles.

1. A multi-head neural network with unsymmetrical constraints for remaining useful life prediction;Liu;Adv. Eng. Inf.,2021

2. Data-model combined driven digital twin of life-cycle rolling bearing;Qin;IEEE Trans. Ind. Inf.,2022

3. Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning;Li;IEEE Trans. Neural Netw. Learn. Syst., in press,2021

4. Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme;Yu;Mech. Syst. Sig. Process.,2019

5. Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter;Cui;IEEE Trans. Instrum. Meas.,2020

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