Rolling element bearing fault detection using an improved combination of Hilbert and wavelet transforms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-009-0807-4.pdf
Reference19 articles.
1. V. Purushotham, S. Narayanan and S. A. N. Prasad, Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition, NDT&E Int. 38(8) (2005) 654–664.
2. G. A. Jiménez, A. O. Muñoz and M. A. Duarte-Mermoud, Fault detection in induction motors using Hilbert and Wavelet transforms, Electr. Eng. 89(3) (2007) 205–220.
3. I. Daubechies, Ten lectures on wavelets, CBMSNSF Series in Applied Mathematics (SIAM), Philadelphia, PA, (1992).
4. Q. Miao, H. Z. Huang and X. F. Fan, Singularity detection in machinery health monitoring using Lipschitz exponent function, J. Mech. Sci. Technol. 21(5) (2007) 737–744.
5. Q. Sun and Y. Tang, Singularity analysis using continuous wavelet transform for bearing, Mech. Syst. Signal Pr. 16(6) (2002) 1025–1041.
Cited by 72 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. Analytical and Practical Perspectives on Fault Identification of Induction Motors;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
2. Review on prognostics and health management in smart factory: From conventional to deep learning perspectives;Engineering Applications of Artificial Intelligence;2023-11
3. Fault diagnosis of low-speed heavy load super large rolling bearing based on deep learning;Journal of Vibroengineering;2023-10-08
4. A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models;Sensors;2023-02-08
5. A self-adaptive multiple-fault diagnosis system for rolling element bearings;Measurement Science and Technology;2022-09-28
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