TY - JOUR
T1 - Short-range Doppler-radar signatures from industrial wind turbines
T2 - Theory, simulations, and measurements
AU - Munoz-Ferreras, Jose Maria
AU - Peng, Zhengyu
AU - Tang, Yao
AU - Gomez-Garcia, Roberto
AU - Liang, Daan
AU - Li, Changzhi
N1 - Funding Information:
The work of Z. Peng and C. Li was supported by the National Science Foundation under Program ECCS-1254838. The Associate Editor coordinating the review process was Dr. Mark Yeary.
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2016/9
Y1 - 2016/9
N2 - Industrial wind turbines are large constructions that require in-field monitoring. In this paper, short-range Doppler radar signatures of wind turbines are both mathematically analyzed and practically verified through simulations and experiments. Two custom-designed radar prototypes that operate at the C and K bands, respectively, are employed in the acquisition campaign. The unique features of the radar signal - in particular, some observed energetic flashes in the time-Doppler map - appear as curved lines for specific acquisition scenarios and/or for nonstraight blades. Furthermore, it is demonstrated that the use of high-frequency radar systems is beneficial in terms of improved spectrogram resolution. Experimental results coming from a 50-m-height wind turbine and a curved-blade 12-m-height turbine are also discussed, in this paper, in the context of the provided theoretical and simulation frameworks. This paper paves the way for noncontact structural health monitoring of industrial-type wind turbines through portable low-cost Doppler radar sensors.
AB - Industrial wind turbines are large constructions that require in-field monitoring. In this paper, short-range Doppler radar signatures of wind turbines are both mathematically analyzed and practically verified through simulations and experiments. Two custom-designed radar prototypes that operate at the C and K bands, respectively, are employed in the acquisition campaign. The unique features of the radar signal - in particular, some observed energetic flashes in the time-Doppler map - appear as curved lines for specific acquisition scenarios and/or for nonstraight blades. Furthermore, it is demonstrated that the use of high-frequency radar systems is beneficial in terms of improved spectrogram resolution. Experimental results coming from a 50-m-height wind turbine and a curved-blade 12-m-height turbine are also discussed, in this paper, in the context of the provided theoretical and simulation frameworks. This paper paves the way for noncontact structural health monitoring of industrial-type wind turbines through portable low-cost Doppler radar sensors.
KW - Doppler radars
KW - flashes
KW - spectrogram
KW - structural health monitoring (SHM)
KW - wind turbine
KW - wireless sensors
UR - http://www.scopus.com/inward/record.url?scp=84973547271&partnerID=8YFLogxK
U2 - 10.1109/TIM.2016.2573058
DO - 10.1109/TIM.2016.2573058
M3 - Article
AN - SCOPUS:84973547271
VL - 65
SP - 2108
EP - 2119
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
SN - 0018-9456
IS - 9
M1 - 7487021
ER -