Monitoring system framework design for floating wind turbine using the deep learning technology and tower response identification considering sensor optimization-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Monitoring system framework design for floating wind turbine using the deep learning technology and tower response identification considering sensor optimization

Published:2024-05 Issue: Volume:299 Page:117316
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Wang Ziming,Qiao Dongsheng,Tang Guoqiang,Lu Lin^ORCID,Ou Jinping

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference57 articles.

1. Fiber optic sensors for bridge monitoring;Appuhamillage;Adv. Met. Technol.,2021

2. Wind turbine fault diagnosis techniques and related algorithm;Aval;Int. J. Renew. Energy Resour.,2016

3. Light Rotor: the 10-MW reference wind turbine;Bak,2012

4. Intelligent condition monitoring of wind power systems: state of the art review;Benbouzid;Energies,2021

5. User's Guide to BModes (Software for Computing Rotating Beam Coupled Modes);Bir,2007

Cited by 1 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. Impactability and susceptibility assessment based on D-S evidence theory for analyzing the risk of fault propagation among catenary components;Reliability Engineering & System Safety;2024-11

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