Adaptive VMD–K-SVD-Based Rolling Bearing Fault Signal Enhancement Study

Adaptive VMD–K-SVD-Based Rolling Bearing Fault Signal Enhancement Study

To address the challenges associated with nonlinearity, non-stationarity, susceptibility to redundant noise interference, and the difficulty in extracting fault feature signals from rolling bearing signals, this study introduces a novel combined approach. The proposed method utilizes the variational...

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Bibliographic Details
Main Authors:	Meijiao Mao, Kaixin Zeng, Zhifei Tan, Zhi Zeng, Zihua Hu, Xiaogao Chen, Changjiang Qin
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Series:	Sensors
Subjects:	rolling bearing arithmetic optimization algorithm variational mode decomposition K-singular value decomposition
Online Access:	https://www.mdpi.com/1424-8220/23/20/8629

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