@inproceedings{f3ba0a6ecce348acbf79590abd22c349,
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.; null ; Conference date: 24-01-2016 Through 27-01-2016",
year = "2016",
month = mar,
day = "30",
doi = "10.1109/RWS.2016.7444353",
language = "English",
series = "IEEE Radio and Wireless Symposium, RWS",
publisher = "IEEE Computer Society",
pages = "23--25",
booktitle = "RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium",
}