基于数字图像相关跟踪技术的风机叶片运行状态检测  

Wind turbine blade operation state detection based on digital image correlation and tracking technology

作　　者：纪旻祎 徐海丰 何吴炳 林燕春 赵姝婷 张天骥 JI Minyi;XU Haifeng;HE Wubing;LIN Yanchun;ZHAO Shuting;ZHANG Tianji(College of Mechanical Science and Engineering,Northeast Petroleum University,Daqing 163318,China;School of Energy Science and Engineer,Harbing Institute of Technology,Harbin 150000,China)

机构地区：[1]东北石油大学机械科学与工程学院,大庆163318 [2]哈尔滨工业大学能源科学与工程学院,哈尔滨150000

出　　处：《无损检测》2025年第2期26-32,共7页Nondestructive Testing

基　　金：黑龙江省优秀青年教师基础研究支持计划(YQJH 2023071)。

摘　　要：提出一种基于数字图像相关追踪技术(digital image correlation and tracking, DIC-Tracking)的风机叶片运行状态检测方法。该方法通过局部散斑绘制与DIC-Tracking算法结合,实现对风机叶片的轴心偏移、变形及裂纹扩展的实时非接触式检测。试验结果表明,该方法能以超过95%的精度实现叶片状态的精确追踪,具有操作简便、成本低廉、适应性强等优点,为风机叶片的早期诊断和维护提供了一种高效且经济的解决方案。This paper presented a new method for monitoring the operational status of wind turbine blades using digital image correlation and tracking(DIC-Tracking)technology.By combining localized speckle painting with the DIC-Tracking algorithm,this method achieved real-time,non-contact monitoring of wind turbine blade hub misalignment,deformation,and crack propagation.Experiments demonstrated that this method could accurately track the condition of the blades with a precision exceeding 95%,offering advantages such as ease of operation,low cost,and strong adaptability.This method provided an efficient and economical solution for early diagnosis and maintenance of wind turbine blades.

关 键 词：数字图像相关跟踪技术 风机叶片在线检测 局部散斑 裂纹扩展 

分 类 号：TE821[石油与天然气工程—油气储运工程] TG115.28[金属学及工艺—物理冶金]