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

José María Muñoz-Ferreras, Zhengyu Peng, Yao Tang, Roberto Gómez-García, Changzhi Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-7
Number of pages3
ISBN (Electronic)9781509034604
DOIs
StatePublished - Mar 14 2017
Event2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2017 - Phoenix, United States
Duration: Jan 15 2017Jan 18 2017

Publication series

NameProceedings - 2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2017

Conference

Conference2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2017
CountryUnited States
CityPhoenix
Period01/15/1701/18/17

Keywords

  • Doppler radars
  • Structural health monitoring (SHM)
  • Wind turbines
  • Wireless sensors

Fingerprint Dive into the research topics of 'Doppler-radar-based short-range acquisitions of time-frequency signatures from an industrial-type wind turbine'. Together they form a unique fingerprint.

  • Cite this

    Muñoz-Ferreras, J. M., Peng, Z., Tang, Y., Gómez-García, R., & Li, C. (2017). Doppler-radar-based short-range acquisitions of time-frequency signatures from an industrial-type wind turbine. In Proceedings - 2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2017 (pp. 5-7). [7878741] (Proceedings - 2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WISNET.2017.7878741