Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines-Reference-Cited by-同舟云学术

Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines

Published:2024-02 Issue: Volume:242 Page:109695
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Mao Wentao^ORCID,Zhang Wen^ORCID,Feng Ke^ORCID,Beer Michael^ORCID,Yang Chunsheng

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference42 articles.

1. Prognostics and health management (PHM): Where are we and where do we (need to) go in theory and practice;Zio;Reliab Eng Syst Saf,2022

2. Support vector machine based estimation of remaining useful life: current research status and future trends;Huang;J Mech Sci Technol,2015

3. Using deep learning-based approach to predict remaining useful life of rotating components;Deutsch;IEEE Trans Syst Man Cybern: Syst,2018

4. Comparing deep learning methods to predict the remaining useful life of lithium-ion batteries;Zraibi;Mater Today: Proc,2022

5. Estimation of bearing remaining useful life based on multiscale convolutional neural network;Zhu;IEEE Trans Ind Electron,2019

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