Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference49 articles.
1. Automated bearing fault diagnosis using 2D analysis of vibration acceleration signals under variable speed conditions;Khan;Shock Vib.,2016
2. A review on electrical motors energy use and energy savings;Saidur;Renew. Sustain. Energy Rev.,2010
3. Dynamic modelling of wear evolution in rolling bearings;El-Thalji;Tribol. Int.,2015
4. Failure identification and analysis for high-voltage induction motors in the petrochemical industry;Thorsen;IEEE Trans. Ind. Appl.,1999
5. Fault diagnosis from raw sensor data using deep neural networks considering temporal coherence;Zhang;Sensors.,2017
Cited by 149 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. Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions;Expert Systems with Applications;2024-10
2. Review of rotating machinery elements condition monitoring using acoustic emission signal;Expert Systems with Applications;2024-10
3. Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients;Digital Signal Processing;2024-09
4. Enhancement of spectral model transferability in LIBS systems through LIBS-LIPAS fusion technique;Analytica Chimica Acta;2024-06
5. Application of Machine Learning (ML)-based multi-classifications to identify corrosion fatigue cracking phenomena in Naval steel weldments;Materials Today Communications;2024-06
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