A Novel RUL-Centric Data Augmentation Method for Predicting the Remaining Useful Life of Bearings

A Novel RUL-Centric Data Augmentation Method for Predicting the Remaining Useful Life of Bearings

Maintaining the reliability of rotating machinery in industrial environments entails significant challenges. The objective of this paper is to develop a methodology that can accurately predict the condition of rotating machinery in order to facilitate the implementation of effective preventive maint...

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Bibliographic Details
Main Authors:	Miao He, Zhonghua Li, Fangchao Hu
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Machines
Subjects:	fault prediction encoder–decoder signal processing remaining useful life (RUL) prediction
Online Access:	https://www.mdpi.com/2075-1702/12/11/766
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