Vision-based Dynamics Monitoring(VDM)for Diagnosing the Variations of Wind Turbine Tower Foundation Conditions  

作　　者：Yanling Cao Rongfeng Deng Dongqin Li Yang Guan Yubin Lin Baoshan Huang 

机构地区：[1]School of Industrial Automation,Beijing Institute of Technology,Zhuhai,Guangdong,China [2]Centre for Efficiency and Performance Engineering,University of Huddersfield,Huddersfield,UK [3]School of Electrical Engineering,Yanshan University,Qingdao,Hebei,China

出　　处：《Journal of Dynamics, Monitoring and Diagnostics》2024年第3期216-224,共9页动力学、监测与诊断学报（英文）

基　　金：the support of the National Natural Science Foundation of China(NSFC)(62076029);Guangdong provincial base platforms and major scientific research project:Research on Remote Large Facility Condition Monitoring Method Based on Motion Amplification(ZX-2021-040);Major Scientific and Technological Project in the Inner Mongolia Autonomous Region(2023YFSW0003);the Guangdong Basic and Applied Basic Research Fund Offshore Wind Power Scheme-General Project under Grant 2022A1515240042.

摘　　要：A slight uneven settlement of the foundation may cause the wind turbine to shake,tilt,or even collapse,so it is increasingly necessary to realize remote condition monitoring of the foundations.At present,the wind turbine foundation monitoring system is incomplete.The current monitoring research of the tower foundation is mainly of contact measurements,using acceleration sensors and static-level sensors for monitoring multiple reference points.Such monitoring methods will face some disadvantages,such as the complexity of monitoring deployment,the cost of manpower,and the load effect on the tower structure.To solve above issues,this paper aims to investigate wind turbine tower foundation variation dynamic monitoring based on machine vision.Machine vision monitoring is a kind of noncontact measurement,which helps to realize comprehensive diagnosis of early foundation uneven settlement and loose faults.The FEA model is firstly investigated as the theoretical foundation to investigate the dynamics of the tower foundation.Second,the Gaussian-based vibration detection is adopted by tracking the tower edge points.Finally,a tower structure with distributed foundation support is tested.The modal parameters obtained from the visual measurement are compared with those from the accelerometer,proving the vision method can effectively monitor the issues with tower foundation changes.

关 键 词：distributed foundation stiffness finite element analysis Gaussian fitting machine vision 

分 类 号：TM315[电气工程—电机]