Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference41 articles.
1. Data-driven fault diagnosis for traction systems in high-speed trains: a survey, challenges, and perspectives;Chen;IEEE Trans Intell Transp Syst,2022
2. Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis;Dong;Reliab Eng Syst Saf,2023
3. A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation;Ren;Renew Energy,2021
4. Applications of machine learning to machine fault diagnosis: a review and roadmap;Lei;Mech Syst Signal Process,2020
5. Intelligent fault diagnosis for rotary machinery using transferable convolutional neural network;Chen;IEEE Trans Ind Informat,2020
Cited by 17 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. Uncertainty-guided adversarial augmented domain networks for single domain generalization fault diagnosis;Measurement;2025-02
2. Simulation data-driven attention fusion network with multi-similarity metric: A single-domain generalization diagnostic method for tie rod bolt loosening of a rod-fastening rotor system;Measurement;2025-01
3. Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples;Computers in Industry;2025-01
4. DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain;Reliability Engineering & System Safety;2024-12
5. Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions;Reliability Engineering & System Safety;2024-12
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