A Remaining Useful Life Prediction Method for Rolling Bearings Based on Hierarchical Clustering and Transformer–GRU

A Remaining Useful Life Prediction Method for Rolling Bearings Based on Hierarchical Clustering and Transformer–GRU

In the prediction of the remaining useful life (RUL) of rolling bearings, feature extraction and selection are critical prerequisites for accurate prediction, while the construction of the prediction model is the core. However, existing RUL prediction methods face two main challenges: (1) feature co...

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Bibliographic Details
Main Authors: Wenping Lei, Xing Dong, Fuyuan Cui, Guangzhong Huang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
rolling bearing hierarchical clustering
transformer
GRU
lifetime prediction
feature redundancy
Online Access:https://www.mdpi.com/2076-3417/15/10/5369
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