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

作　　者：唐一皓 温斌荣 张航 田新亮[1,2] 周归勇[3] 彭志科 Tang Yihao;Wen Binrong;Zhang Hang;Tian Xinliang;Zhou Guiyong;Peng Zhike(State Key Laboratory of Ocean Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;SJTU Yazhou Bay Institute of Deepsea Science and Technology,Sanya 572000,China;Xinjiang Yili Kukesu Hydropower Development Co.,Ltd.,Yili 835100,China;School of Mechanical Engineering,Ningxia University,Yinchuan 750021,China)

机构地区：[1]上海交通大学海洋工程国家重点实验室,上海200240 [2]上海交通大学三亚崖州湾深海科技研究院,三亚572000 [3]新疆伊犁库克苏水电开发有限责任公司,伊犁835100 [4]宁夏大学机械工程学院,银川750021

出　　处：《太阳能学报》2024年第12期206-213,共8页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(12102251);海南省科技计划三亚崖州湾科技城联合项目(2021CXLH0023);国家电力投资集团有限公司-上海交通大学“未来能源计划联合基金”基金项目;水声对抗重点实验室开放基金项目资助国防科技重点实验室基金(JCKY2022207CH05)。

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。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 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]