A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults

Published:2024-11 Issue: Volume:162 Page:104133
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Peng Chuang^ORCID,Chen Lei^ORCID,Hao Kuangrong^ORCID,Chen Shuaijie^ORCID,Cai Xin^ORCID,Wei Bing^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. From artificial intelligence to explainable artificial intelligence in industry 4.0: A survey on what, how, and where;Ahmed;IEEE Trans. Ind. Inform.,2022

2. A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection;Anvar;Comput. Ind.,2023

3. Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications;Baduge;Autom. Constr.,2022

4. Multisource-refined transfer network for industrial fault diagnosis under domain and category inconsistencies;Chai;IEEE Trans. Cybern.,2021

5. A meta-learning method for electric machine bearing fault diagnosis under varying working conditions with limited data;Chen;IEEE Trans. Ind. Inform.,2022

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