Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis-Reference-Cited by-同舟云学术

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Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis

Published:2024-10 Issue: Volume:62 Page:102620
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Pang Bin^ORCID,Liu Qiuhai,Xu Zhenli,Sun Zhenduo,Hao Ziyang,Song Ziqi

Publisher

Elsevier BV

Reference55 articles.

1. Fast fault diagnosis method of rolling bearings based on compression features in multi-sensor redundant observation environment;Pan;Appl. Acoust.,2023

2. Unknown fault feature extraction of rolling bearings under variable speed conditions based on statistical complexity measures;Wang;Mech. Syst. Sig. Process.,2022

3. Recursive variational mode extraction and its application in rolling bearing fault diagnosis;Pang;Mech. Syst. Sig. Process.,2022

4. Deep learning;LeCun;Nature,2015

5. Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings;He;J. Manuf. Syst.,2023

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