Local damage detection in rolling element bearings based on a single ensemble empirical mode decomposition-Reference-Cited by-同舟云学术

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Local damage detection in rolling element bearings based on a single ensemble empirical mode decomposition

Published:2024-10 Issue: Volume:301 Page:112265
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Berrouche Yaakoub^ORCID,Vashishtha Govind^ORCID,Chauhan Sumika,Zimroz Radoslaw

Publisher

Elsevier BV

Reference39 articles.

1. Deep learning-based structural health monitoring;Cha;Autom. Constr.,2024

2. Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review;Maurya;Soft. comput.,2024

3. Advancements in condition monitoring and fault diagnosis of rotating machinery: a comprehensive review of image-based intelligent techniques for induction motors;AlShorman;Eng. Appl. Artif. Intell.,2024

4. Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients;Wang;Mech. Syst. Signal Process.,2018

5. Spectral L2/L1 norm: a new perspective for spectral kurtosis for characterizing non-stationary signals;Wang;Mech. Syst. Signal Process.,2018

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