Classification of machinery vibration signals based on group sparse representation
Author:
Publisher
JVE International Ltd.
Subject
Mechanical Engineering,General Materials Science
Link
http://www.jvejournals.com/Vibro/fulltextpdf/JVE-2016-18-3/JVE01816051989.pdf
Reference26 articles.
1. Harris F. J. Rolling Bearing Analysis 2. John Wiley, New York, 2000.
2. Shin Younghak, Lee Seungchan, Ahn Minkyu, et al. Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification. Biomedical Signal Processing and Control, Vol. 21, 2015, p. 8-18.
3. Rafiee J., Tse P. W., Harifi A., et al. A novel technique for selecting mother wavelet function using an intelligent fault diagnosis system. Expert Systems with Applications, Vol. 36, 2009, p. 4862-4875.
4. Wang D., Tse P. W., Tsui K. L. An enhanced kurtogram method for fault diagnosis of rolling element bearings. Mechanical Systems and Signal Processing, Vol. 35, 2013, p. 176-199.
5. Tang G., Yang Qin, Wang Hua-Qing, et al. Sparse classification of rotating machinery faults based on compressive sensing strategy. Mechatronics, 2015, (in Press).
Cited by 8 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 Review on the Role of Tunable Q-Factor Wavelet Transform in Fault Diagnosis of Rolling Element Bearings;Journal of Vibration Engineering & Technologies;2022-04-06
2. Fault Diagnosis of Rolling Bearing Based on Shift Invariant Sparse Feature and Optimized Support Vector Machine;Machines;2021-05-12
3. Classification of Agriculture Farm Machinery Using Machine Learning and Internet of Things;Symmetry;2021-03-01
4. Sparse representation-based classification for the planetary gearbox with improved KPCA and dictionary learning;Systems Science & Control Engineering;2020-01-01
5. A Novel Improved Maximum Entropy Regularization Technique and Application to Identification of Dynamic Loads on the Coal Rock;Journal of Electrical and Computer Engineering;2019-01-20
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