Non-parametric Ensemble Empirical Mode Decomposition for extracting weak features to identify bearing defects-Reference-Cited by-同舟云学术

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Non-parametric Ensemble Empirical Mode Decomposition for extracting weak features to identify bearing defects

Published:2023-04 Issue: Volume:211 Page:112615
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Kumar Anil,Berrouche Yaakoub,Zimroz Radoslaw,Vashishtha Govind,Chauhan Sumika,Gandhi C.P.,Tang Hesheng,Xiang Jiawei

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference39 articles.

1. Weak fault detection in rotating machineries by using vibrational resonance and coupled varying-stable nonlinear systems;Xiao;J. Sound Vib.,2020

2. Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump;Kumar;Appl. Acoust.,2020

3. Latest developments in gear defect diagnosis and prognosis: A review;Kumar;Measurement,2020

4. Time-frequency analysis and support vector machine in automatic detection of defect from vibration signal of centrifugal pump;Kumar;Measurement,2017

5. Train axle bearing fault detection using a feature selection scheme based multi-scale morphological filter;Li;Mech. Syst. Sig. Process.,2018

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