Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis-Reference-Cited by-同舟云学术

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis

Published:2023-04 Issue: Volume:56 Page:102027
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wang Xin,Jiang Hongkai,Wu Zhenghong,Yang Qiao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference46 articles.

1. A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis;Wu;Adv. Eng. Inf.,2022

2. Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images;Li;IEEE Transactions on Systems, Man, and Cybernetics: Systems.,2022

3. A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis;Liu;Adv. Eng. Inf.,2022

4. Low-rank enhanced convolutional sparse feature detection for accurate diagnosis of gearbox faults;Du;Mech. Syst. Sig. Process.,2021

5. Sparsity-assisted bearing fault diagnosis using multiscale period group lasso;An;ISA Trans.,2020

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