Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings-Reference-Cited by-同舟云学术

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Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings

Published:2024-11 Issue: Volume:251 Page:110377
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Kim Sunghyun,Seo Yun-Ho,Park Junhong^ORCID

Funder

MOTIE

Publisher

Elsevier BV

Reference49 articles.

1. A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density;Xu;Mech Syst Signal Process,2020

2. Knowledge-informed deep networks for robust fault diagnosis of rolling bearings;Su;Reliab Eng Syst Saf,2024

3. Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit;Ni;Reliab Eng Syst Saf,2024

4. Rolling element bearing diagnostics–a tutorial;Randall;Mech Syst Signal Process,2011

5. RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network;Li;Reliab Eng Syst Saf,2024

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