Bearing Fault Feature Extraction Method Based on Adaptive Time-Varying Filtering Empirical Mode Decomposition and Singular Value Decomposition Denoising

Bearing Fault Feature Extraction Method Based on Adaptive Time-Varying Filtering Empirical Mode Decomposition and Singular Value Decomposition Denoising

Aiming to address the difficulty in extracting the early weak fault features of bearings under complex operating conditions, a fault diagnosis method is proposed based on the adaptive fusion of time-varying filtering empirical mode decomposition (TVF-EMD) modal components and singular value decompos...

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Bibliographic Details
Main Authors: Xuezhuang E, Wenbo Wang, Hao Yuan
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machines
Subjects:
time-varying filtering empirical mode decomposition
snake optimization
fault diagnosis
rolling bearings
Online Access:https://www.mdpi.com/2075-1702/13/1/50
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