A novel fault diagnostic method in power converters for wind power generation system
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference44 articles.
1. A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems;Yang;Renew Sustain Energy Rev,2016
2. A new fault detection and fault location method for multi-terminal high voltage direct current of offshore wind farm;Li;Appl Energy,2018
3. Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals;Chen;Renew Energy,2016
4. The prediction and diagnosis of wind turbine faults;Kusiak;Renew Energy,2011
5. Design of machine learning models with domain experts for automated sensor selection for energy fault detection;Hu;Appl Energy,2019
Cited by 37 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. Overview of the PI (2DoF) algorithm in wind power system optimization and control;Frontiers in Energy Research;2024-08-09
2. A parallel deep neural network for intelligent fault diagnosis of drilling pumps;Engineering Applications of Artificial Intelligence;2024-07
3. Review of fault detection techniques in power converters: Fault analysis and diagnostic methodologies;Measurement;2024-07
4. Fault detection in the marine engine using a support vector data description method;Journal of Marine Engineering & Technology;2024-02-18
5. A Multi-Information Fusion Algorithm to Fault Diagnosis of Power Converter in Wind Power Generation Systems;IEEE Transactions on Industrial Informatics;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