TY - GEN
T1 - A step forward towards radar sensor networks for structural health monitoring of wind turbines
AU - Munoz-Ferreras, J. M.
AU - Peng, Z.
AU - Tang, Y.
AU - Gomez-Garcia, R.
AU - Liang, D.
AU - Li, C.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/30
Y1 - 2016/3/30
N2 - 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.
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.
KW - Doppler radars
KW - Wind turbine
KW - remote sensing
KW - spectrogram
KW - structural health monitoring (SHM)
UR - http://www.scopus.com/inward/record.url?scp=84964576090&partnerID=8YFLogxK
U2 - 10.1109/RWS.2016.7444353
DO - 10.1109/RWS.2016.7444353
M3 - Conference contribution
AN - SCOPUS:84964576090
T3 - IEEE Radio and Wireless Symposium, RWS
SP - 23
EP - 25
BT - RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium
PB - IEEE Computer Society
T2 - IEEE Radio and Wireless Symposium, RWS 2016
Y2 - 24 January 2016 through 27 January 2016
ER -