J. Muñoz-Ferreras, Zhengyu Peng, Yao Tang, R. Gómez‐García, Changzhi Li
{"title":"基于多普勒雷达的工业风力涡轮机时频特征的短程采集","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":"{\"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}","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}
Doppler-radar-based short-range acquisitions of time-frequency signatures from an industrial-type wind turbine
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.