An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment-Reference-Cited by-同舟云学术

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An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment

Published:2024-10 Issue: Volume:219 Page:111596
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wang Zisheng^ORCID,Xuan Jianping,Shi Tielin

Publisher

Elsevier BV

Reference45 articles.

1. Deep transfer learning for bearing fault diagnosis: A systematic review since 2016;Chen;IEEE Trans. Instrum. Meas.,2023

2. Compound fault diagnosis of rolling bearing based on ALIF-KELM;Ma;Math. Probl. Eng.,2021

3. Degradation state partition and compound fault diagnosis of rolling bearing based on personalized multilabel learning;Ma;IEEE Trans. Instrum. Meas.,2021

4. Adaptive swarm decomposition algorithm for compound fault diagnosis of rolling bearings;Xiao;IEEE Trans. Instrum. Meas.,2023

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure;Advanced Engineering Informatics;2024-10

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