RECOGNITION OF DYNAMIC RESPONSES IN OFFSHORE WIND TURBINE TOWERS BASED ON PHASE-BASED MOTION MAGNIFICATION AND MACHINE VISION

Li Zhenyan; Luo Chunkun; Luo Tao; Chen Bei; Hua Xugang

doi:10.19912/j.0254-0096.tynxb.2024-2169

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 320-328. DOI: 10.19912/j.0254-0096.tynxb.2024-2169

RECOGNITION OF DYNAMIC RESPONSES IN OFFSHORE WIND TURBINE TOWERS BASED ON PHASE-BASED MOTION MAGNIFICATION AND MACHINE VISION

Li Zhenyan^1,2, Luo Chunkun^1,2, Luo Tao³, Chen Bei^1,2, Hua Xugang^1,2

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Abstract

To address the challenge of identifying micro-vibrations in offshore wind turbines, this study proposes a novel visual recognition methodology integrating phase-based motion magnification （PBMM） and template matching （TM）, herein referred to as the PBMM-TM framework. This paper utilizes a scaled-down model of the NREL 5 MW wind turbine to systematically evaluate the influence of parameters such as illumination, resolution, and background contrast on the precision of dynamic characteristic identification under micro-vibration conditions. The efficacy of the PBMM-TM method under adverse environmental conditions is rigorously analyzed, and its applicability is further corroborated by field measurements obtained from a wind turbine situated in Zhuhai, China. Results demonstrate that the PBMM-TM algorithm can accurately capture and identify dynamic structural parameters, even with minimal vibration amplitude. Compared to traditional methods, this approach enhances recognition accuracy by nearly 50% in low-light and low-contrast settings. The algorithm also maintains accurate feature point tracking at low resolutions, enabling efficient long-range monitoring of offshore wind turbines.

Key words

offshore wind turbines / structural health monitoring / template matching / dynamic response / visual recognition / phase-based motion magnification

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Li Zhenyan, Luo Chunkun, Luo Tao, Chen Bei, Hua Xugang. RECOGNITION OF DYNAMIC RESPONSES IN OFFSHORE WIND TURBINE TOWERS BASED ON PHASE-BASED MOTION MAGNIFICATION AND MACHINE VISION[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 320-328 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2169

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