A mixture distributions analysis based feature selection approach for bearing remaining useful life estimation

A mixture distributions analysis based feature selection approach for bearing remaining useful life estimation

Abstract Feature selection is a difficult but highly important preliminary step for bearings remaining useful life (RUL) estimation. To avoid the weights setting problem in hybrid metric, this work devotes to conduct feature selection by using a single metric. Due to noise and outliers, an existing...

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Bibliographic Details
Main Authors: Fei Huang, Alexandre Sava, Kondo H. Adjallah, Dongyang Zhang
Format: Article
Language:English
Published: Springer 2023-10-01
Series:SN Applied Sciences
Subjects:
Feature selection
Mixture distributions
Monotonicity
Remaining useful life
Bearing fault
Degradation monitoring
Online Access:https://doi.org/10.1007/s42452-023-05518-1

Internet

https://doi.org/10.1007/s42452-023-05518-1

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