A high-performance rolling bearing fault diagnosis method based on adaptive feature mode decomposition and Transformer-Reference-Cited by-同舟云学术

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A high-performance rolling bearing fault diagnosis method based on adaptive feature mode decomposition and Transformer

Published:2024-09 Issue: Volume:224 Page:110156
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Lv Jiajia,Xiao Qiyang,Zhai Xiaodong^ORCID,Shi Wentao

Publisher

Elsevier BV

Reference39 articles.

1. The lst-satm-net: a new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis;Yang;Appl Acoust,2023

2. Cyclic symplectic component decomposition with application in planetary gearbox fault diagnosis;Pan;Mech Mach Theory,2022

3. Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement cnn;Zhu;Appl Acoust,2022

4. A review of vibration-based gear wear monitoring and prediction techniques;Feng;Mech Syst Signal Process,2023

5. Digital twin-driven intelligent assessment of gear surface degradation;Feng;Mech Syst Signal Process,2023

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