A Hybrid Approach Based on a Windowed-EMD Temporal Convolution–Reallocation Network and Physical Kalman Filtering for Bearing Remaining Useful Life Estimation

Rolling bearings are one of the core components of industrial equipment. Owing to the rapid development of deep learning methods, a multitude of data-driven remaining useful life (RUL) estimation approaches have been proposed recently. However, several challenges persist in existing methods: the lim...

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Bibliografiske detaljer

Principais autores:	Zhe Wei, Lang Lang, Mo Chen, Chao Ge, Enguo Tong, Liang Chen
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-09-01
Serier:	Machines
Fag:	remaining useful life rolling bearings convolutional neural network Kalman filtering
Online adgang:	https://www.mdpi.com/2075-1702/13/9/802
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