A Feature Extraction Method Using VMD and Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis
Author:
Affiliation:
1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Funder
Basic Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10043099/10006733.pdf?arnumber=10006733
Reference39 articles.
1. Application of Parameter Optimized Variational Mode Decomposition Method in Fault Feature Extraction of Rolling Bearing
2. Vibration signal classification by wavelet packet energy flow manifold learning
3. Variational Mode Decomposition
4. A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis
5. The mathematical theory of communication (reprinted);shannon;M D Comput,1997
Cited by 14 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. Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis;IEEE Sensors Journal;2024-01-01
2. A Condition Monitoring Method via Optimization-Based Adaptive Feature Extraction Strategy;IEEE Transactions on Instrumentation and Measurement;2024
3. Unsupervised rolling bearing fault diagnosis method across working conditions based on multiscale convolutional neural network;Measurement Science and Technology;2023-12-20
4. Intelligent Fault Diagnosis of Rolling Bearings Based on an Improved Empirical Wavelet Transform and ResNet Under Variable Conditions;IEEE Sensors Journal;2023-12-01
5. Pipeline Leak AE Signal Denoising Based on Improved SSA-K-α Index-VMD-MD;IEEE Sensors Journal;2023-11-01
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