A step forward towards radar sensor networks for structural health monitoring of wind turbines

J. M. Munoz-Ferreras; Z. Peng; Y. Tang; R. Gomez-Garcia; D. Liang; C. Li

doi:10.1109/RWS.2016.7444353

A step forward towards radar sensor networks for structural health monitoring of wind turbines

J. M. Munoz-Ferreras, Z. Peng, Y. Tang, R. Gomez-Garcia, D. Liang, C. Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Structural health monitoring (SHM) of wind turbines can be carried out through inexpensive noncontact radar systems. This paper reports the first steps for the proper deployment of a network of radar sensors around the wind turbine, which may provide useful information to reliably detect possible defects or malfunctioning. In particular, the echo features for a 50-m-height wind turbine when illuminated by a 24-GHz Doppler radar from different near positions are carefully studied and evaluated in a simulated scenario. The performed simulations are in close agreement with the experimental results obtained through a 24-GHz radar gun. As main conclusions, this analysis reveals the convenience of employing high-frequency radar systems for the sensor network and situating the radars on the ground.

Original language	English
Title of host publication	RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium
Publisher	IEEE Computer Society
Pages	23-25
Number of pages	3
ISBN (Electronic)	9781467398053
DOIs	https://doi.org/10.1109/RWS.2016.7444353
State	Published - Mar 30 2016
Event	IEEE Radio and Wireless Symposium, RWS 2016 - Austin, United States Duration: Jan 24 2016 → Jan 27 2016

Publication series

Name	IEEE Radio and Wireless Symposium, RWS
Volume	2016-March
ISSN (Print)	2164-2958
ISSN (Electronic)	2164-2974

Conference

Conference	IEEE Radio and Wireless Symposium, RWS 2016
Country	United States
City	Austin
Period	01/24/16 → 01/27/16

Keywords

Doppler radars
Wind turbine
remote sensing
spectrogram
structural health monitoring (SHM)

Access to Document

10.1109/RWS.2016.7444353

Link to publication in Scopus

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Cite this

Munoz-Ferreras, J. M., Peng, Z., Tang, Y., Gomez-Garcia, R., Liang, D., & Li, C. (2016). A step forward towards radar sensor networks for structural health monitoring of wind turbines. In RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium (pp. 23-25). [7444353] (IEEE Radio and Wireless Symposium, RWS; Vol. 2016-March). IEEE Computer Society. https://doi.org/10.1109/RWS.2016.7444353

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abstract = "Structural health monitoring (SHM) of wind turbines can be carried out through inexpensive noncontact radar systems. This paper reports the first steps for the proper deployment of a network of radar sensors around the wind turbine, which may provide useful information to reliably detect possible defects or malfunctioning. In particular, the echo features for a 50-m-height wind turbine when illuminated by a 24-GHz Doppler radar from different near positions are carefully studied and evaluated in a simulated scenario. The performed simulations are in close agreement with the experimental results obtained through a 24-GHz radar gun. As main conclusions, this analysis reveals the convenience of employing high-frequency radar systems for the sensor network and situating the radars on the ground.",

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Munoz-Ferreras, JM, Peng, Z, Tang, Y, Gomez-Garcia, R, Liang, D & Li, C 2016, A step forward towards radar sensor networks for structural health monitoring of wind turbines. in RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium., 7444353, IEEE Radio and Wireless Symposium, RWS, vol. 2016-March, IEEE Computer Society, pp. 23-25, IEEE Radio and Wireless Symposium, RWS 2016, Austin, United States, 01/24/16. https://doi.org/10.1109/RWS.2016.7444353

A step forward towards radar sensor networks for structural health monitoring of wind turbines. / Munoz-Ferreras, J. M.; Peng, Z.; Tang, Y.; Gomez-Garcia, R.; Liang, D.; Li, C.

RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium. IEEE Computer Society, 2016. p. 23-25 7444353 (IEEE Radio and Wireless Symposium, RWS; Vol. 2016-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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