Simulated Data Driven GAN-Based for Fault Diagnosis Under Missing Fault Types
Author:
Affiliation:
1. College of Mechanical and Electronic Engineering, Shandong University of Science and Technology,Qingdao,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10482420/10482375/10482705.pdf?arnumber=10482705
Reference16 articles.
1. Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network
2. A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
3. Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN
4. Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes
5. Multi-Scale Cluster-Graph Convolution Network with Multi-Channel Residual Network for Intelligent Fault Diagnosis
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