MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings

In order to extract fault features of rolling bearings to characterize their operation state effectively, an improved method, based on modified variational mode decomposition (MVMD) and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA), is proposed. Firstly, the MVMD method is intro...

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Bibliographic Details
Main Authors: Zhuorui Li, Jun Ma, Xiaodong Wang, Jiande Wu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/4/331