Dual residual attention network for remaining useful life prediction of bearings-Reference-Cited by-同舟云学术

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Dual residual attention network for remaining useful life prediction of bearings

Published:2022-08 Issue: Volume:199 Page:111424
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Jiang Guoqian^ORCID,Zhou Wenda,Chen Qi,He Qun,Xie Ping

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Hebei Province Science and Technology Support Program

Hebei Provincial Key Research Projects

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference37 articles.

1. A methodology for determining the return on investment associated with prognostics and health management;Feldman;IEEE Trans. Reliab.,2009

2. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications;Lee;Mech. Syst. Signal Process.,2014

3. Machine learning for reliability engineering and safety applications: Review of current status and future opportunities;Xu;Reliab. Eng. Syst. Saf.,2021

4. Machinery health prognostics: A systematic review from data acquisition to RUL prediction;Lei;Mech. Syst. Signal Process.,2018

5. Health assessment and life prediction of cutting tools based on support vector regression;Benkedjouh;J. Intell. Manuf.,2015

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1. Res-TCEANet: An expansive attention mechanism with positional correspondence based on semi-supervised temporal convolutional network for RUL estimation;Measurement;2025-02

2. The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions;Advanced Engineering Informatics;2024-10

3. Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction;IEEE Transactions on Industrial Informatics;2024-09

4. Prediction of remaining life of bearings based on integral correction and global attention mechanism;Measurement Science and Technology;2024-08-29

5. A dual-model adaptive Kalman filtering for remaining useful life prediction method based on feature fusion and online TSP recognition;Measurement;2024-08

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