Meta-Adaptive Graph Convolutional Networks With Few Samples for the Fault Diagnosis of Rotating Machinery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Meta-Adaptive Graph Convolutional Networks With Few Samples for the Fault Diagnosis of Rotating Machinery

Published:2024-06-15 Issue:12 Volume:24 Page:19237-19252
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yu Xiaoxia¹^ORCID,Zhang Zhigang¹^ORCID,Tang Baoping²^ORCID,Zhao Minghang³^ORCID

Affiliation:

1. College of Mechanical Engineering, Chongqing University of Technology, Chongqing, China

2. College of Mechanical Engineering, Chongqing University, Chongqing, China

3. School of Ocean Engineering, Harbin Institute of Technology at Weihai, Weihai, China

Funder

Scientific Research Foundation of Chongqing University of Technology

Program for Innovation Team at Institution of Higher Education in Chongqing

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Municipality

National Key Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10510205.pdf?arnumber=10510205

Reference41 articles.

1. Learn Generalized Features Via Multi-Source Domain Adaptation: Intelligent Diagnosis Under Variable/Constant Machine Conditions

2. Joint Application of VMD and IWOA-PNN for Gearbox Fault Classification via Current Signal

3. Bearing Fault Diagnosis Based on Multiple Transformation Domain Fusion and Improved Residual Dense Networks

4. Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds

5. A multi-learner neural network approach to wind turbine fault diagnosis with imbalanced data

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