Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group-Reference-Cited by-同舟云学术

Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group

Published:2023-04 Issue: Volume:188 Page:109995
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Han Changkun,Lu Wei,Wang Huaqing^ORCID,Song Liuyang,Cui Lingli

Publisher

Elsevier BV

Subject

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

Reference41 articles.

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

5. K. Zhao, H. Jiang, C. Liu, Y. Wang, and K. Zhu, ‘A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data’, Knowl.-Based Syst., vol. 238, p. 107892, Feb. 2022, 10.1016/j.knosys.2021.107892.

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