Interactive channel attention for rotating component fault detection with strong noise and limited data
Author:
Funder
China Postdoctoral Science Foundation
Natural Science Foundation of Sichuan Province
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference35 articles.
1. Latest developments in gear defect diagnosis and prognosis: A review;Kumar;Measurement,2020
2. Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study;Zhao;ISA Trans.,2020
3. Deep transfer learning with limited data for machinery fault diagnosis;Han;Appl. Soft Comput.,2021
4. Electric locomotive bearing fault diagnosis using a novel convolutional deep belief network;Shao;IEEE Trans. Ind. Electron.,2017
5. Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing;Shao;Mech. Syst. Signal Pr.,2018
Cited by 18 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. A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions;Reliability Engineering & System Safety;2024-11
2. Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds;Reliability Engineering & System Safety;2024-11
3. DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications;Reliability Engineering & System Safety;2024-09
4. Fractional-order Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids;Applied Soft Computing;2024-09
5. Multiscale dynamically parallel shrinkage network for fault diagnosis of aviation hydraulic pump and its generalizable applications;ISA Transactions;2024-08
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