Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motors Using Magnetic Leakage Signals
Author:
Affiliation:
1. College of Electrical and Information Engineering, Hunan University, Changsha, China
2. College of Electrical and Information Engineering at Changsha University of Science and Technology, Changsha, China
Funder
National Natural Science Foundation of China
National Science Foundation of Hunan Province
Foundation of Key Laboratory of Science and Technology on Integrated Logistics Support
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10081096/09750877.pdf?arnumber=9750877
Reference38 articles.
1. Motor fault diagnosis using attention mechanism and improved adaboost driven by multi-sensor information
2. Learning with local and global consistency;zhou;Adv Neural Inf Process Syst,2004
3. Demagnetization Fault Detection for Double-Sided Permanent Magnet Linear Motor Based on Three-Line Magnetic Signal Signature Analysis
4. A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor
5. Accurate Demagnetization Faults Detection of Dual-Sided Permanent Magnet Linear Motor Using Enveloping and Time-Domain Energy Analysis
Cited by 32 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. Robust Diagnosis of Partial Demagnetization Fault in PMSMs Using Radial Air-Gap Flux Density Under Complex Working Conditions;IEEE Transactions on Industrial Electronics;2024-10
2. Fast Online Fault Diagnosis for PMSM Based on Adaptation Model;IEEE Sensors Journal;2024-08-01
3. A deep residual neural network model for synchronous motor fault diagnostics;Applied Soft Computing;2024-07
4. Radial and Axial Leakage Flux Characteristics of Induction Motors with Stator Inter-Turn Fault;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10
5. Custom Phase Space Reconstruction Image-Driven Fault Diagnosis for PMSM Under Few-Labeled Samples;IEEE Transactions on Power Electronics;2024-02
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