Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions-Reference-Cited by-同舟云学术

Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions

Published:2023-04 Issue: Volume:232 Page:109076
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Bai Ruxue,Meng Zong^ORCID,Xu Quansheng,Fan Fengjie

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference34 articles.

1. 2MNet: multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing;Guan;Reliab Eng Syst Saf,2021

2. Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings;Jiao;Reliab Eng Syst Saf,2019

3. Applications of machine learning to machine fault diagnosis: a review and roadmap;Lei;Mech Syst Signal Process,2020

4. Machine learning for reliability engineering and safety applications: review of current status and future opportunities;Xu;Reliab Eng Syst Saf,2021

5. A survey on deep learning based bearing fault diagnosis;Hoang;Neurocomputing,2019

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