Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/18/5/1523/pdf
Reference30 articles.
1. Stator Current Analysis From Electrical Machines Using Resonance Residual Technique to Detect Faults in Planetary Gearboxes
2. Joint envelope and frequency order spectrum analysis based on iterative generalized demodulation for planetary gearbox fault diagnosis under nonstationary conditions
3. Diagnosing planetary gear faults using the fuzzy entropy of LMD and ANFIS
4. Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error
5. Gear fault identification based on Hilbert–Huang transform and SOM neural network
Cited by 75 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 hybrid method for fault diagnosis of rolling bearings;Measurement Science and Technology;2024-09-13
2. Gear fault diagnosis based on small channel convolutional neural network under multiscale fusion attention mechanism;Quality and Reliability Engineering International;2024-08-06
3. Fault Identification of Direct-Shift Gearbox Using Variational Mode Decomposition and Convolutional Neural Network;Machines;2024-06-24
4. Fault diagnosis of tooth surface spalling based on variational mode decomposition and maximum correlation kurtosis method;Engineering Research Express;2024-02-28
5. Convolutional neural network intelligent fault diagnosis method for rotating machinery based on discriminant correlation analysis multi-domain feature fusion strategy;Journal of Vibroengineering;2024-02-18
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