Local time-reassigned synchrosqueezing transform and its application in bearing fault characteristic extraction-Reference-Cited by-同舟云学术

Local time-reassigned synchrosqueezing transform and its application in bearing fault characteristic extraction

Published:2023-11 Issue: Volume:203 Page:110726
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Liu Jingbo,Meng Zong^ORCID,Sun Dengyun,Guan Yang,Cao Wei,Li Jimeng

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference49 articles.

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2. Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis;Wang;Mech. Syst. Sig. Process.,2018

3. High-precision bearing signal recovery based on signal fusion and variable step size forward-backward pursuit;Pan;Mech. Syst. Sig. Process.,2021

4. A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions;Su;Mech. Syst. Sig. Process.,2022

5. The spectral amplitude modulation: A nonlinear filtering process for diagnosis of rolling element bearings;Moshrefzadeh;Mech. Syst. Sig. Process.,2019

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2. Rotor fault texture feature extraction method based on SVD order analysis of synchrosqueezing transform time-frequency graph;Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023);2024-05-22