Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference20 articles.
1. Multiwavelet denoising with improved neighboring coefficients for application on rolling bearing fault diagnosis;Wang;Mech. Syst. Signal Process.,2011
2. Fault feature extraction of low speed roller bearings based on Teager peak energy;Ke;Zhendong Yu Chongji/J. Vib. Shock.,2017
3. Rolling element bearing diagnostics—a tutorial;Randall;Mech. Syst. Signal Process.,2011
4. Sparse classification based on dictionary learning for planet bearing fault identification;Zhao;Expert Syst. Appl.,2018
5. A case study of sample entropy analysis to the fault detection of bearing in wind turbine;Ni;Case Stud. Eng. Fail. Anal.,2017
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