MIMO-SAR Interferometric Measurements for Wind Turbine Tower Deformation Monitoring

Open access
Date
2023-02-03Type
- Journal Article
Abstract
Deformations affect the structural integrity of wind turbine towers. The health of such structures is thus assessed by monitoring. The majority of sensors used for this purpose are costly and require in situ installations. We investigated whether Multiple-Input Multiple-Output Synthetic Aperture Radar (MIMO-SAR) sensors can be used to monitor wind turbine towers. We used an automotive-grade, low-cost, off-the-shelf MIMO-SAR sensor operating in the W-band with an acquisition frequency of 100 (Formula presented.) to derive Line-Of-Sight (LOS) deformation measurements in ranges up to about 175 (Formula presented.). Time series of displacement measurements for areas at different heights of the tower were analyzed and compared to reference measurements acquired by processing video camera recordings and total station measurements. The results showed movements in the range of up to 1 (Formula presented.) at the top of the tower. We were able to detect the deformations also with the W-band MIMO-SAR sensor; for areas with sufficient radar backscattering, the results suggest a sub-mm noise level of the radar measurements and agreement with the reference measurements at the mm- to sub-mm level. We further applied Fourier transformation to detect the dominant vibration frequencies and identified values ranging from 0.17 to 24 (Formula presented.). The outcomes confirmed the potential of MIMO-SAR sensors for highly precise, cost-efficient, and time-efficient structural monitoring of wind turbine towers. The sensors are likely also applicable for monitoring other high-rise structures such as skyscrapers or chimneys. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000599395Publication status
publishedExternal links
Journal / series
EnergiesVolume
Pages / Article No.
Publisher
MDPISubject
Wind turbine; Monitoring; Radar; MIMO-SAR; Interferometry; Total station; CameraOrganisational unit
03964 - Wieser, Andreas / Wieser, Andreas
Related publications and datasets
Is supplemented by: https://doi.org/10.3929/ethz-b-000599403
Is part of: https://doi.org/10.3929/ethz-b-000616003
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