A new gear intelligent fault diagnosis method based on refined composite hierarchical fluctuation dispersion entropy and manifold learning-Reference-Cited by-同舟云学术

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A new gear intelligent fault diagnosis method based on refined composite hierarchical fluctuation dispersion entropy and manifold learning

Published:2021-12 Issue: Volume:186 Page:110136
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhou Fuming,Gong Jiancheng,Yang Xiaoqiang,Han Tao,Yu Zhongkang

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Fault diagnosis of various rotating equipment using machine learning approaches–A review;Manikandan;Proc. Inst. Mech. Eng., Part E: J. Process Mech. Eng.,2021

2. Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning;Xueyi;Chin. J. Aeronaut.,2020

3. A bearing fault diagnosis method based on multiscale dispersion entropy and GG clustering;Zhang;Measurement,2021

4. Dynamic modeling of gearbox faults: a review;Liang;Mech. Syst. Sig. Process.,2018

5. A novel bevel gear fault diagnosis method based on ensemble empirical mode decomposition and support vector machines;Yanqiang;Insight-Non-Destruct. Test. Cond. Monit.,2020

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3. Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition;Knowledge-Based Systems;2024-04

4. A novel scheme based on modified hierarchical time-shift multi-scale amplitude-aware permutation entropy for rolling bearing condition assessment and fault recognition;Measurement;2024-01

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