Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions
Author:
Funder
National Nature Science Foundation of China
Publisher
IOP Publishing
Subject
Applied Mathematics,Instrumentation,Engineering (miscellaneous)
Link
https://iopscience.iop.org/article/10.1088/1361-6501/ac05f8/pdf
Reference31 articles.
1. Deep learning for smart manufacturing: methods and applications;Wang;J. Manuf. Syst.,2018
2. Electrical signature analysis-based detection of external bearing faults in electromechanical drivetrains;Shahriar;IEEE Trans. Ind. Electron.,2018
3. A survey of fault diagnosis and fault-tolerant techniques—part I: fault diagnosis with model-based and signal-based approaches;Gao;IEEE Trans. Ind. Electron.,2015
4. A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions;Borghesani;Mech. Syst. Signal Process,2013
5. Rolling element bearing defect diagnosis under variable speed operation through angle synchronous averaging of wavelet de-noised estimate;Mishra;Mech. Syst. Signal Process,2016
Cited by 24 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. WGCAN: A Weighted Graph Convolutional Adversarial Network for Open-Set Machinery Fault Diagnosis;IEEE Sensors Journal;2024-08-15
2. Fault diagnosis of hydroelectric units based on GASF and parallel CNN-GRU-MSA;Measurement Science and Technology;2024-08-14
3. A bearing fault diagnosis method based on LSTM-GAN and convolutional neural network under small sample variable working conditions;Journal of Intelligent & Fuzzy Systems;2024-05-03
4. A multi convolution pooling group fault diagnosis model with high generalization across data sets and large receptive field characteristics considering industrial environmental noise;Multimedia Tools and Applications;2024-02-06
5. Bearing fault diagnosis based on variational autoencoder and non-local block wide kernel convolutional neural network;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-02-03
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