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

10 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/Territory	United States
City	Austin
Period	01/24/16 → 01/27/16

Keywords

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

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10.1109/RWS.2016.7444353

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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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title = "A step forward towards radar sensor networks for structural health monitoring of wind turbines",

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.",

keywords = "Doppler radars, Wind turbine, remote sensing, spectrogram, structural health monitoring (SHM)",

author = "Munoz-Ferreras, {J. M.} and Z. Peng and Y. Tang and R. Gomez-Garcia and D. Liang and C. Li",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE Radio and Wireless Symposium, RWS 2016 ; Conference date: 24-01-2016 Through 27-01-2016",

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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. et al.
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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AB - 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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A step forward towards radar sensor networks for structural health monitoring of wind turbines

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