T. Nikoubin, J. Muñoz-Ferreras, R. Gómez‐García, Daan Liang, Changzhi Li
{"title":"使用低成本便携式k波段雷达的风力涡轮机结构健康监测:一项从头算现场调查","authors":"T. Nikoubin, J. Muñoz-Ferreras, R. Gómez‐García, Daan Liang, Changzhi Li","doi":"10.1109/WISNET.2015.7127404","DOIUrl":null,"url":null,"abstract":"This paper addresses an ab-initio field investigation around using low-cost portable radars to capture coherent Doppler signatures of wind turbines for structural health monitoring (SHM) applications. A handheld low-cost K-band radar sensor is employed to point at the blades of a turbine, and their Doppler signatures from different angles and distances are measured. In particular, spectrograms are built and analyzed. Preliminary results show that the derived Doppler information can be related to physical and kinematical features of the blades. This leads to a great potential of these low-cost radar sensors for real-time wind-turbine SHM.","PeriodicalId":293397,"journal":{"name":"2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Structural health monitoring of wind turbines using a low-cost portable k-band radar: An ab-initio field investigation\",\"authors\":\"T. Nikoubin, J. Muñoz-Ferreras, R. Gómez‐García, Daan Liang, Changzhi Li\",\"doi\":\"10.1109/WISNET.2015.7127404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses an ab-initio field investigation around using low-cost portable radars to capture coherent Doppler signatures of wind turbines for structural health monitoring (SHM) applications. A handheld low-cost K-band radar sensor is employed to point at the blades of a turbine, and their Doppler signatures from different angles and distances are measured. In particular, spectrograms are built and analyzed. Preliminary results show that the derived Doppler information can be related to physical and kinematical features of the blades. This leads to a great potential of these low-cost radar sensors for real-time wind-turbine SHM.\",\"PeriodicalId\":293397,\"journal\":{\"name\":\"2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISNET.2015.7127404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISNET.2015.7127404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structural health monitoring of wind turbines using a low-cost portable k-band radar: An ab-initio field investigation
This paper addresses an ab-initio field investigation around using low-cost portable radars to capture coherent Doppler signatures of wind turbines for structural health monitoring (SHM) applications. A handheld low-cost K-band radar sensor is employed to point at the blades of a turbine, and their Doppler signatures from different angles and distances are measured. In particular, spectrograms are built and analyzed. Preliminary results show that the derived Doppler information can be related to physical and kinematical features of the blades. This leads to a great potential of these low-cost radar sensors for real-time wind-turbine SHM.