登录 注册 会员服务 联系我们

Wind Turbine Condition Monitoring Based on Bagging Ensemble Strategy and KNN Algorithm

  • Published:2022 Issue: Volume:10 Page:93412-93420
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Zhang Hongmin1,Niu Haiming1,Ma Zenghui2,Zhang Shuyao3

Affiliation:

1. Beijing Engineering Research Center of Power Station Automation, Chn Energy ZhiShen Control Technology Co., Ltd., Beijing, China

2. College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China

3. School of Control and Computer Engineering, North China Electric Power University, Beijing, China

Funder

Chn Energy Science and Technology Innovation Project “Research and Demonstration of Wind Turbine Control System”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 7 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. Real-Time Prediction of Remaining Driving Range for Electric Motorcycle Applications;IEEE Transactions on Intelligent Transportation Systems;2024

2. Wind turbine condition monitoring based on double‐layer ensemble KNN method;Energy Science & Engineering;2023-11-30

3. A Review of Wind Turbine Icing Prediction Technology;Wind Turbine Icing - Recent Advances in Icing Characteristics and Protection Technology;2023-11-29

4. A Review of Data-Driven Solutions to Power Up Maintenance of Electrical Systems for Predictive Decision Making Through Fault Analysis;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

5. Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
同舟云学术

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