摘要
针对缠绕式提升机悬绳段钢丝绳横向空间振动开展测量方法研究,采用双高速摄像机采集悬绳空间横振的灰度图像,在设置感兴趣区域的基础上,采用自适应阈值设定的小波边缘提取算法,提高钢丝绳轮廓的检测精度,并进行二值化处理,通过矩阵求形心法得到区域内钢丝绳形心位置,并采用经验模态分解法去除钢丝绳排绳位移引起的周期性激励,从而得到了钢丝绳横向空间振动信号。为验证测量方法的正确性,在多绳缠绕式提升系统试验平台上开展试验研究,试验结果表明,研究的视觉检测方法能够快速、准确地实现钢丝绳横向空间振动信号的非接触检测。
The method of measuring the transverse spatial vibration of wire rope in catenary section of winding hoist is studied,the gray image of that is captured by two high-speed cameras,on the basis of setting region of interest,a wavelet edge extraction algorithm based on adaptive threshold is adopted to improve detection accuracy of wire rope contour and then binarization is conducted,centroid position of rope is obtained by calculating matrix,the empirical mode decomposition method is used to remove the periodic excitation which is caused by the displacement of the wire rope,and then getting the transverse spatial vibration signal of the catenary.In order to verify the correctness of the measurement method,the experimental research is tested on the test platform of multi-rope winding hoisting system.Test results show that the proposed visual measurement method of rope vibration can quickly and accurately realize the non-contact measurement of the transverse spatial vibration signal of the wire rope.
作者
凡娜娜
杨芳
李济顺
邹声勇
Fan Nana;Yang Fang;Li Jishun;Zou Shengyong(School of Mechatronics Engineering,Henan University of Science and Technology,He'nan Luoyang 471003,China;Henan Key Laboratory for Machinery Design and Transmission System,Henan University of Science and Technology,He'nan Luoyang 471003,China;State Key Laboratory of Mining Heavy Equipment(CITIC-Heavy Industries Co.,Ltd.),He'nan Luoyang 471039,China)
出处
《机械科学与技术》
CSCD
北大核心
2020年第10期1568-1574,共7页
Mechanical Science and Technology for Aerospace Engineering
基金
国家重点基础研究发展计划(973计划)项目(2014CB049401)
河南省高等学校重点科研项目计划(18A460017)资助。
关键词
缠绕式提升机
视觉检测
钢丝绳横振
试验研究
winding hoist
visual detection
wire rope transverse vibration
experimental research
wavelet edge extraction algorithm
empirical mode decomposition