Fault Diagnosis of Bearings With the Common-Domain Data
Author:
Affiliation:
1. Department of Mechanical Engineering, Machine Diagnostics Laboratory, Ajou University, Suwon, Republic of Korea
Funder
Nuclear Safety Research Program through the Korea Foundation Of Nuclear Safety
Nuclear Safety and Security Commission (NSSC) of the Republic of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09758780.pdf?arnumber=9758780
Reference44 articles.
1. Phonocardiogram Signal Based Multi-Class Cardiac Diagnostic Decision Support System
2. Utilizing Convolutional Neural Networks for Image Classification and Securing Mobility of People With Physical and Mental Disabilities in Cloud Systems
3. Transferable Representation Learning with Deep Adaptation Networks
4. Optimal kernel choice for large-scale two-sample tests;gretton;Proc Adv Neural Inf Process Syst,2012
5. Deep Domain Generalization Combining A Priori Diagnosis Knowledge Toward Cross-Domain Fault Diagnosis of Rolling Bearing
Cited by 1 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. Fault diagnosis of gas turbine generator bearings using enhanced valuable sample strategy and convolutional neural network;Measurement Science and Technology;2023-10-16
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