Vibration-Based Spall Size Tracking in Rolling Element Bearings
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-06590-8_48
Reference7 articles.
1. Randall RB, Antoni J (2011) Rolling element bearing diagnostics—a tutorial. Mech Syst Sig Process 25(2):485–520
2. Heng A, Zhang S, Tan ACC, Mathew J (2009) Rotating machinery prognostics: state of the art, challenges and opportunities. Mech Syst Sig Process 23(3):724–739
3. Sawalhi N, Randall RB (2011) Vibration response of spalled rolling element bearings: observations, simulations and signal processing techniques to track the spall size. Mech Syst Sig Process 25(3):846–870
4. Sikorska JZ, Hodkiewicz M, Ma L (2011) Prognostic modelling options for remaining useful life estimation by industry. Mech Syst Sig Process 25(5):1803–1836
5. Zhao S, Liang L, Xu G, Wang J, Zhang W (2013) Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method. Mech Syst Sig Process 40(1):154–177
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. Spall size estimation for wind turbine pitch bearings: observation, signal processing method and experiments;Structural Health Monitoring;2024-04-14
2. Size estimation of spall-like fault on rolling element bearing using an integrated approach incorporating total variation regularization and singular spectrum analysis;Measurement Science and Technology;2022-12-01
3. A benchmark of measurement approaches to track the natural evolution of spall severity in rolling element bearings;Mechanical Systems and Signal Processing;2022-03
4. Tracking the natural evolution of bearing spall size using cyclic natural frequency perturbations in vibration signals;Mechanical Systems and Signal Processing;2021-04
5. A New Approach to Automated Bearing Fault Severity Assessment Using Deep-Learning;Advances in Asset Management and Condition Monitoring;2020
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