Novel FEM-Based Wavelet Bases and Their Contextualized Applications to Bearing Fault Diagnosis

Novel FEM-Based Wavelet Bases and Their Contextualized Applications to Bearing Fault Diagnosis

Feature extraction herein refers to using an appropriate wavelet basis to filter vibration signals with the aim to reveal fault transient characteristics, which underlies bearing fault diagnosis. Wavelet transform has developed into a well-established signal processing approach with wide application...

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Bibliographic Details
Main Authors: Long Zhang, Lijuan Zhao, Binghuan Cai, Jinwen Yang, Wenbing Tu, Hao Zhang, Yi Lu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Machines
Subjects:
personalized fault diagnosis
dynamics modeling
FEM-based wavelet
feature extraction
Online Access:https://www.mdpi.com/2075-1702/10/6/440

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https://www.mdpi.com/2075-1702/10/6/440

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