Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction

Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction

Abstract Aiming at the existing life prediction methods for rolling bearing degradation information mining is not sufficient, the critical time step information degree is insufficient, resulting in the loss of key degradation information, model prediction accuracy and model generalization ability is...

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Bibliographic Details
Main Authors: Yingming Yang, Zhihai Wang, Xiaoqin Liu, Tao Liu, Zhuopeng Luo
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
RUL prediction
Rolling bearing
Dual attention mechanism
Multi-scale residual pyramid
Transformer
Relative position coding
Online Access:https://doi.org/10.1038/s41598-025-97380-x
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https://doi.org/10.1038/s41598-025-97380-x

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