基于视觉振动测量的漂浮式风力机状态监测方法研究

唐一皓; 温斌荣; 张航; 田新亮; 周归勇; 彭志科

doi:10.19912/j.0254-0096.tynxb.2023-1160

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (12) : 206-213. DOI: 10.19912/j.0254-0096.tynxb.2023-1160

基于视觉振动测量的漂浮式风力机状态监测方法研究

唐一皓^1,2, 温斌荣^1,2, 张航^1,2, 田新亮^1,2, 周归勇³, 彭志科⁴

作者信息 +

CONDITION MONITORING OF FLOATING WIND TURBINES WITH VISION-BASED VIBRATION MEASUREMENT METHOD

Tang Yihao^1,2, Wen Binrong^1,2, Zhang Hang^1,2, Tian Xinliang^1,2, Zhou Guiyong³, Peng Zhike⁴

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文章历史 +

摘要

以基于视觉的振动测量方法为基础,结合二维运动解析方法,提出一种基于视觉振动测量的漂浮式风力机（FWT）状态监测方法,可实现漂浮式风力机平台运动和塔筒振动的同步精准监测。虚拟运动仿真视频中,所提方法对漂浮式风力机运动/振动的识别误差不大于1%;在背景噪声干扰下,除漂浮式平台纵摇运动外,其他自由度运动识别误差小于5%。将所提方法应用于浮式风力机模型试验的运动/振动识别中,可实现对漂浮式风力机状态的良好识别。

Abstract

A condition monitoring method combining vision-based vibration measurement and two-dimensional motion analysis is proposed for floating wind turbines（FWTs）. It enables non-contact and precise measurements of the platform motions and the tower vibration of an FWT simultaneously. Virtual motion simulation videos show that the relative error of the proposed method is less than 1%. When the simulated visual video encounters strong noise interferences, the recognition errors of all other responses （except the floater pitch） is no more than 5%. Furthermore, the proposed method is applied to the motion/vibration recognitions of a FWT model test, further validating its feasibility and reliability.

导出引用

唐一皓, 温斌荣, 张航, 田新亮, 周归勇, 彭志科. 基于视觉振动测量的漂浮式风力机状态监测方法研究[J]. 太阳能学报. 2024, 45(12): 206-213 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1160

Tang Yihao, Wen Binrong, Zhang Hang, Tian Xinliang, Zhou Guiyong, Peng Zhike. CONDITION MONITORING OF FLOATING WIND TURBINES WITH VISION-BASED VIBRATION MEASUREMENT METHOD[J]. Acta Energiae Solaris Sinica. 2024, 45(12): 206-213 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1160

中图分类号： TK83

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