Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction

Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction

Bearings are critical components in mechanical systems, and their degradation process typically exhibits distinct stages, making stage-based remaining useful life (RUL) prediction highly valuable. This paper presents a model that combines correlation analysis feature extraction with a Graph Neural N...

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Bibliographic Details
Main Authors: Guangzhong Huang, Wenping Lei, Xinmin Dong, Dongliang Zou, Shijin Chen, Xing Dong
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machines
Subjects:
rolling bearing
RUL prediction
KPCA
autoencoder
stage classification
GNN
Online Access:https://www.mdpi.com/2075-1702/13/1/43
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