Rolling bearing fault diagnosis based on mean multigranulation decision-theoretic rough set and non-naive Bayesian classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-018-1018-7.pdf
Reference39 articles.
1. H. D. M. de Azevedo, A. M. Araújo and N. Bouchonneau, A review of wind turbine bearing condition monitoring: State of the art and challenges, Renewable and Sustainable Energy Reviews, 56 (2016) 368–379.
2. F. T. Wang, C. X. Liu, W. S. Su, Z. G. Xue, H. K. Li and Q. K. Han, Condition monitoring and fault diagnosis methods for low–speed and heavy–load slewing bearings: A literature review, J. of Vibroengineering, 19 (5) (2017) 3429–3444.
3. Y. Gui, Q. K. Han and F. L. Chu, A vibration model for fault diagnosis of planetary gearboxes with localized planet bearing defects, J. of Mechanical Science and Technology, 30 (9) (2016) 4109–4119.
4. Y. Zhou, L. Li, D. Wang, M. He and D. He, A new method to classify railway vehicle axle fatigue crack AE signal, Applied Acoustics, 131 (2018) 174–185.
5. N. Upadhyay and P. K. Kankar, Diagnosis of bearing defects using tunable Q–wavelet transform, J. of Mechanical Science and Technology, 32 (2) (2018) 549–558.
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. A novel method based on CNN-BiGRU and AM model for bearing fault diagnosis;Journal of Mechanical Science and Technology;2024-07
2. Systematic Review on Fault Diagnosis on Rolling-Element Bearing;Journal of Vibration Engineering & Technologies;2024-04-10
3. Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review;Expert Systems with Applications;2024-03
4. Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis;Sensors;2023-12-21
5. Comparison of acoustic signal–based fault detection of mechanical faults in induction motors using image classification models;Transactions of the Institute of Measurement and Control;2023-05-11
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