Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings

Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings

Accurate extraction of weak fault information from non-stationary vibration signals collected by vibration sensors is challenging due to severe noise and interference. While variational mode decomposition (VMD) has been effective in fault diagnosis, its reliance on predefined parameters, such as cen...

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Bibliographic Details
Main Authors: Baoxiang Wang, Guoqing Liu, Jihai Dai, Chuancang Ding
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
rolling bearings
improved variational mode decomposition
scale space representation
multipoint kurtosis
fault diagnosis
vibration analysis
Online Access:https://www.mdpi.com/1424-8220/25/11/3542
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