Doppler-radar-based short-range acquisitions of time-frequency signatures from an industrial-type wind turbine

J. Muñoz-Ferreras, Zhengyu Peng, Yao Tang, R. Gómez‐García, Changzhi Li
{"title":"Doppler-radar-based short-range acquisitions of time-frequency signatures from an industrial-type wind turbine","authors":"J. Muñoz-Ferreras, Zhengyu Peng, Yao Tang, R. Gómez‐García, Changzhi Li","doi":"10.1109/WISNET.2017.7878741","DOIUrl":null,"url":null,"abstract":"Non-contact radar-based monitoring of large mechanical constructions is currently gaining much attention from the RF/microwave community. In particular, Doppler radars can be coherently exploited to extract spectrograms—i.e., time-Doppler maps—of industrial-type wind turbines. This work conducts short-range experiments corresponding to a 50-m-height Vestas wind turbine illuminated by two custom-designed quadrature radar prototypes operating at 5.8 and 24 GHz, respectively. It is observed that the obtained experimental radar signatures—that are shaped by flashes and quasi-sinusoidal halos—exhibit distinct characteristics depending on the acquisition geometry and the operation frequency of the radar sensor. These features might lead in the future to a radar-based non-contact monitoring solution of the structural health of industrial-type wind turbines.","PeriodicalId":266973,"journal":{"name":"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISNET.2017.7878741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Non-contact radar-based monitoring of large mechanical constructions is currently gaining much attention from the RF/microwave community. In particular, Doppler radars can be coherently exploited to extract spectrograms—i.e., time-Doppler maps—of industrial-type wind turbines. This work conducts short-range experiments corresponding to a 50-m-height Vestas wind turbine illuminated by two custom-designed quadrature radar prototypes operating at 5.8 and 24 GHz, respectively. It is observed that the obtained experimental radar signatures—that are shaped by flashes and quasi-sinusoidal halos—exhibit distinct characteristics depending on the acquisition geometry and the operation frequency of the radar sensor. These features might lead in the future to a radar-based non-contact monitoring solution of the structural health of industrial-type wind turbines.
基于多普勒雷达的工业风力涡轮机时频特征的短程采集
基于非接触式雷达的大型机械结构监测目前受到射频/微波界的广泛关注。特别是,多普勒雷达可以被相干地利用来提取频谱图,即。,工业风力涡轮机的时间多普勒地图。这项工作进行了一个50米高的维斯塔斯风力涡轮机的短程实验,该涡轮机由两个定制设计的正交雷达原型照亮,分别工作在5.8 GHz和24 GHz。观察到,所获得的实验雷达特征-由闪光和准正弦晕形成-根据雷达传感器的采集几何形状和工作频率表现出不同的特征。这些特点可能在未来导致基于雷达的工业风力涡轮机结构健康的非接触式监测解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信