Bearing Fault Severity Analysis on A Multi-stage Gearbox Subjected to Fluctuating Speeds
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s40799-020-00370-z.pdf
Reference20 articles.
1. Sharma A, Amarnath M, Kankar PK (2017) Novel ensemble techniques for classification of rolling element bearing faults. J Braz Soc Mech Sci Eng 39(3):709–724
2. Tandon N, Choudhury A (1999) A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribology international 32(8):469– 480
3. Hizarci B, Ümütlü RC, Ozturk H, Kıral Z (2019) Vibration Region Analysis for Condition Monitoring of Gearboxes Using Image Processing and Neural Networks. Exp Techniques 43(6):739–755
4. Karacay T, Akturk N (2009) Experimental diagnostics of ball bearings using statistical and spectral methods. Tribology International 42(6):836–843
5. Sugumaran V, Sabareesh GR, Ramachandran KI (2008) Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine. Expert Systems with Applications 34(4):3090–3098
Cited by 15 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 Review of Digital Twinning for Rotating Machinery;Sensors;2024-08-02
2. Real-time intelligent fault diagnosis of rotating machines based on Archimedes algorithm optimised Gradient Boosting;Nondestructive Testing and Evaluation;2023-12-08
3. Early fault diagnosis based on reinforcement learning optimized-SVM model with vibration-monitored signals;Quality Engineering;2023-04-03
4. Signal-based parameter and fault identification in roller bearings using adaptive neuro-fuzzy inference systems;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2022-12-28
5. An integrated condition monitoring scheme for health state identification of a multi-stage gearbox through Hurst exponent estimates;Structural Health Monitoring;2022-05-26
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