LAPSE:2023.3771
Published Article

LAPSE:2023.3771
MIMO-SAR Interferometric Measurements for Wind Turbine Tower Deformation Monitoring
February 22, 2023
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 Hz to derive Line-Of-Sight (LOS) deformation measurements in ranges up to about 175 m. 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 m 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 Hz. 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.
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 Hz to derive Line-Of-Sight (LOS) deformation measurements in ranges up to about 175 m. 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 m 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 Hz. 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.
Record ID
Keywords
camera, interferometry, MIMO-SAR, monitoring, radar, total station, wind turbine
Subject
Suggested Citation
Baumann-Ouyang A, Butt JA, Varga M, Wieser A. MIMO-SAR Interferometric Measurements for Wind Turbine Tower Deformation Monitoring. (2023). LAPSE:2023.3771
Author Affiliations
Baumann-Ouyang A: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland; RUAG AG, 8602 Wangen, Switzerland [ORCID]
Butt JA: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland; Atlas Optimization GmbH, 8049 Zürich, Switzerland [ORCID]
Varga M: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland [ORCID]
Wieser A: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland [ORCID]
Butt JA: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland; Atlas Optimization GmbH, 8049 Zürich, Switzerland [ORCID]
Varga M: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland [ORCID]
Wieser A: Institute of Geodesy and Photogrammetry, ETH Zürich, 8093 Zürich, Switzerland [ORCID]
Journal Name
Energies
Volume
16
Issue
3
First Page
1518
Year
2023
Publication Date
2023-02-03
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16031518, Publication Type: Journal Article
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LAPSE:2023.3771
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https://doi.org/10.3390/en16031518
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