Curve similarity recognition based rolling bearing degradation state estimation and lifetime prediction
Author:
Publisher
JVE International Ltd.
Subject
Mechanical Engineering,General Materials Science
Link
http://www.jvejournals.com/Vibro/fulltextpdf/JVE-17377.pdf
Reference22 articles.
1. Shao Y., Nezu K. Prognosis of remaining bearing life using neural networks. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Vol. 214, Issue 3, 2000, p. 217-230.
2. Pham H. T., Yang Nguyen B. S. T. T. Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine. Mechanical Systems and Signal Processing, Vol. 32, 2012, p. 320-330.
3. Wei Y., Wang M. Degradation state recognition of rolling bearing based on EEMD and SVM. Computer Integrated Manufacturing Systems, Vol. 9, 2015.
4. Liao L., Lee J. A novel method for machine performance degradation assessment based on fixed cycle features test. Journal of Sound and Vibration, Vol. 326, Issue 3, 2009, p. 894-908.
5. Huang R., Xi L., Li X., et al. Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods. Mechanical Systems and Signal Processing, Vol. 21, Issue 1, 2007, p. 193-207.
Cited by 3 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. Research on rolling bearing state health monitoring and life prediction based on PCA and Internet of things with multi-sensor;Measurement;2020-06
2. Selecting effective intrinsic mode functions of empirical mode decomposition and variational mode decomposition using dynamic time warping algorithm for rolling element bearing fault diagnosis;Transactions of the Institute of Measurement and Control;2018-08-20
3. An ensemble model for engineered systems prognostics combining health index synthesis approach and particle filtering;Quality and Reliability Engineering International;2017-10-04
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