Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines
Author:
Affiliation:
1. Department of Computer Science and TechnologyUniversity of Hull Yorkshire UK
Publisher
Wiley
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/we.2510
Reference55 articles.
1. CrabtreeCJ ZappalaD HoggSI.Wind energy: UK experiences and offshore operational challenges. In: Proceedings of the Institution of Mechanical Engineers Part A: Journal of Power and Energy Vol. 229;2015:727‐746.
2. Chapter 9—offshore wind;Hara R;Wind Power Gen,2016
3. Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations
4. OdgaardPF JohnsonKE.Wind turbine fault detection and fault tolerant control—an enhanced benchmark challenge. In: 2013 American Control Conference;2013.
5. SiY QianL MaoB ZhangD.A data‐driven approach for fault detection of offshore wind turbines using random forests. In: Iecon 2017 ‐ 43rd Annual Conference of the IEEE Industrial Electronics Society;2017;Beijing China:3149‐3154.
Cited by 44 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. Wind turbine gearbox condition monitoring through the sequential analysis of industrial SCADA and vibration data;Energy Reports;2024-12
2. A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs;Reliability Engineering & System Safety;2024-12
3. Big data meets big wind: A scientometric review of machine learning approaches in offshore wind energy;Energy and AI;2024-12
4. Prediction of rare events in the operation of household equipment using co-evolving time series;Pattern Analysis and Applications;2024-08-14
5. Research on condition operation monitoring of power system based on supervisory control and data acquisition model;Alexandria Engineering Journal;2024-07
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