Application of the Teager–Kaiser energy operator in bearing fault diagnosis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Application of the Teager–Kaiser energy operator in bearing fault diagnosis

Published:2013-03 Issue:2 Volume:52 Page:278-284
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Henríquez Rodríguez Patricia,Alonso Jesús B.,Ferrer Miguel A.,Travieso Carlos M.

Funder

Agencia Canaria de Investigación, Innovación y Sociedad de la Información

European Social Fund

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference14 articles.

1. Artificial neural networks and genetic algorithm for bearing fault detection;Samanta;Soft Computing,2006

2. Vibration monitoring of rolling element bearings by high freq. resonance technique–a review;McFadden;Tribology International,1984

3. Rolling element bearing fault diagnosis based on the combination of genetic algorithms and fast kurtogram;Randall;Mechanical System and Signal Process,2009

4. Lu, X, Wang, J., Bearing fault diagnosis based on redundant second generation wavelet denoising and EEMD. In: International conference on consumer electronics, communications and networks (CECNet); 16–18 April 2011. p. 1090–3.

5. Li, H, Fu, L, Zhang, Y., Bearing faults diagnosis based on teager energy operator demodulation technique. In: International conference on measuring technology and mechatronics automation; 2009. p. 594–7.

Cited by 90 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 Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs);International Journal of Mathematical, Engineering and Management Sciences;2024-06-01

2. An enhanced spline-based time-varying filtering method and fast MKurtgram for bearing fault identification under random impulsive environment;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-12-28

3. Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis;Mechanical Systems and Signal Processing;2023-05

4. PSR-LSTM model for weak pulse signal detection;Multimedia Tools and Applications;2023-03-11

5. Drill String Failure Prediction Methodology Using Data Analytics for Real Time Well Engineering;Day 2 Wed, March 08, 2023;2023-03-07

同舟云学术

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