Few-Shot Learning-Based Fault Diagnosis Using Prototypical Contrastive-Based Domain Adaptation Under Variable Working Conditions-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Few-Shot Learning-Based Fault Diagnosis Using Prototypical Contrastive-Based Domain Adaptation Under Variable Working Conditions

Published:2024-08-01 Issue:15 Volume:24 Page:25019-25029
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

An Yiyao¹^ORCID,Li Zhaofei²,Li Yuanyuan³^ORCID,Zhang Ke⁴^ORCID,Zhu Zhiqin¹^ORCID,Chai Yi⁴^ORCID

Affiliation:

1. College of Automation, Chongqing University of Post and Telecommunications, Chongqing, China

2. College of Automation and Information Engineering, Sichuan University of Science and Engineer, Sichuan, China

3. Chongqing University of Posts and Telecommunications, Chongqing, China

4. College of Automation, Chongqing University, Chongqing, China

Funder

Special Key Project of Chongqing Technology Innovation and Application Development

Opening Fund of Artificial Intelligence Key Laboratory of Sichuan Province

National Natural Science Foundation of China

Cooperation Project Between Undergraduate Universities in Chongqing and Institutions Affiliated to the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10558777.pdf?arnumber=10558777

Reference40 articles.

1. A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes

2. The Optimized Deep Belief Networks With Improved Logistic Sigmoid Units and Their Application in Fault Diagnosis for Planetary Gearboxes of Wind Turbines

3. Rolling Bearing Fault Diagnosis Method Base on Periodic Sparse Attention and LSTM

4. Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning

5. A review of the application of deep learning in intelligent fault diagnosis of rotating machinery

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3