Remaining Useful Life Prediction of Rolling Bearings Based on Federated Domain Generalization

<b>Objectives:</b> To address the difficulty of data sharing under privacy constraints and the performance degradation of conventional federated models caused by pronounced inter-client data heterogeneity in rolling bearing remaining useful life prediction, an FDG-based framework is developed for th...

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Principais autores:	Renxiang Chen, Ci Zhang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-04-01
סדרה:	AI
נושאים:	rolling bearings remaining useful life prediction federated learning domain generalization
גישה מקוונת:	https://www.mdpi.com/2673-2688/7/5/150
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!