A framework via impulses-oriented Gini index and extreme value distribution for rolling bearing dynamic fault alarm and identification-Reference-Cited by-同舟云学术

A framework via impulses-oriented Gini index and extreme value distribution for rolling bearing dynamic fault alarm and identification

Published:2023-11 Issue: Volume:189 Page:105437
ISSN:0094-114X
Container-title:Mechanism and Machine Theory
language:en
Short-container-title:Mechanism and Machine Theory

Author:

Yao Renhe^ORCID,Jiang Hongkai,Liu Yunpeng^ORCID,Zhu Hongxuan

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Bioengineering

Reference36 articles.

1. Restoring cyclostationarity of rolling element bearing signals from the instantaneous phase of their envelope;Marsick;Mech. Syst. Signal Proc.,2023

2. Analysis of vibration signals for a ball bearing-rotor system with raceway local defects and rotor eccentricity;Yang;Mech. Mach. Theory,2022

3. Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis;Liu;Knowledge-Based Syst.,2022

4. Research on the sparse optimization method of periodic weights and its application in bearing fault diagnosis;Chu;Mech. Mach. Theory,2022

5. An integrated framework via key-spectrum entropy and statistical properties for bearing dynamic health monitoring and performance degradation assessment;Yao;Mech. Syst. Signal Proc.,2022

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