Fault detection in roller bearing operating at low speed and varying loads using Bayesian robust new hidden Markov model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-018-0802-8.pdf
Reference37 articles.
1. F. Jia, Y. Lei, J. Lin, X. Zhou and N. Lu, Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data, Mechanical Systems and Signal Processing, 72–73 (2016) 303–315.
2. J. S. Sakellariou, K. A. Petsounis and D. F. Spilios, Vibration based fault diagnosis for railway vehicle suspensions via a functional model based method: A feasibility study, Journal of Mechanical Science and Technology, 29 (2) (2015) 471–484.
3. B. Li, M.-Y. Chow, Y. Tipsuwan and J. C. Hung, Neuralnetwork-based motor rolling fault diagnosis, IEEE Transactions on Industrial Electronics, 47 (5) (2000) 1060–1069.
4. Y. Li, T. R. Kurfess and S. Y. Liang, Stochastic prognostics for rolling element bearing, Mechanical Systems and Signal Processing, 14 (5) (2000) 747–762.
5. S. S. Rao and M. J. Horton, Mechanical vibrations, Fifth Edition (2011).
Cited by 22 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. Systematic Review on Fault Diagnosis on Rolling-Element Bearing;Journal of Vibration Engineering & Technologies;2024-04-10
2. A fault diagnosis scheme for harmonic reducer under practical operating conditions;Measurement;2024-03
3. Fault Diagnosis in Partially Observable Petri Nets with Quantum Bayesian Learning;Applied Sciences;2023-12-20
4. A hybrid model-based prognostics approach for estimating remaining useful life of rolling bearings;Measurement Science and Technology;2023-07-18
5. Construction of health indicators for condition monitoring of rotating machinery: A review of the research;Expert Systems with Applications;2022-10
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