基于视觉振动测量的漂浮式风力机状态监测方法研究
CONDITION MONITORING OF FLOATING WIND TURBINES WITH VISION-BASED VIBRATION MEASUREMENT METHOD
唐一皓 1温斌荣 1张航 1田新亮 1周归勇 2彭志科3
作者信息
- 1. 上海交通大学海洋工程国家重点实验室,上海 200240;上海交通大学三亚崖州湾深海科技研究院,三亚 572000
- 2. 新疆伊犁库克苏水电开发有限责任公司,伊犁 835100
- 3. 宁夏大学机械工程学院,银川 750021
- 折叠
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.
关键词
漂浮式风力机/振动测量/状态监测/塔筒振动/平台运动Key words
offshore wind turbines/vibration measurement/condition monitoring/tower vibration/platform motion引用本文复制引用
出版年
2024