基于波速修正和距离权值的风机叶片损伤定位成像方法
Damage Localization and Imaging Method Based on the Corrected Wave Velocity and the Distance Weighting for Wind Turbine Blade
摘 要
针对Lamb波被动监测方法中存在的损伤定位误差较大，检测结果不够直观、准确等问题，以风机叶片为对象，研究了复合材料结构冲击响应波速修正值标定方法和基于像素点对比度的损伤定位成像矩阵，在此基础上提出了基于波速修正值和距离权值的风机叶片损伤定位成像方法。试验结果表明：与传统的被动定位监测相比，该方法损伤定位误差小，成像位置准确。
被动监测方法
风机叶片
定位成像矩阵
波速修正值
距离权值
Lamb wave
passive monitoring method
wind turbine blade
orientation imaging matrix
corrected wave velocity
distance weighting
Abstract
Aiming at the problem that the damage localization error exists in the Lamb wave passive monitoring method,and the detection result is not intuitive and accurate,a solution for damage localization and imaging for wind turbine blade is proposed that is based on the corrected wave velocity and the distance weighting. The proposed solution assesses the structure of wind turbine blade and studies the revised velocity of shocking response wave demarcating method to the structure of composite material and damage location based on pixel contrast imaging matrix. The provided experiment results demonstrate that compared with traditional passive positioning monitoring, the locating error of the proposed method is smaller and the imaging position is more accurate.
中图分类号 TN911.7 TB332 TG115.28 DOI 10.11973/wsjc201707007
所属栏目 试验研究
基金项目 国家自然科学基金重点资助项目（61533010）；中国博士后基金资助项目（2015M570401）；南京邮电大学先进技术研究院开放基金资助项目（XJKY15005）；南京邮电大学科研资助项目（NY215093）
收稿日期 2016/12/3
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备注华杰(1992-),男,硕士研究生,主要从事结构健康监测、精密仪器等方面的研究
引用该论文: HUA Jie,WANG Qiang,HUI Dechang. Damage Localization and Imaging Method Based on the Corrected Wave Velocity and the Distance Weighting for Wind Turbine Blade[J]. Nondestructive Testing, 2017, 39(7): 33～37
华杰,王强,惠德畅. 基于波速修正和距离权值的风机叶片损伤定位成像方法[J]. 无损检测, 2017, 39(7): 33～37
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参考文献
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【2】LI X,YANG Z,ZHANG H,et al.Crack growth sparse pursuit for wind turbine blade[J]. Smart Materials and Structures,2015,24(1): 2-9.
【3】李晓艳,孙耀宁,钟建友.风机叶片材料和结构设计浅析[J].装备制造技术,2015,43(1):164-166.
【4】朱永凯,潘仁前,陈盛票. 基于声发射传感器阵列的风机叶片结构健康监测方法[J].无损检测,2010,32(10):753-756.
【5】HAYNES C,TODD M.Enhanced damage localization for complex structures through statistical modeling and sensor fusion[J]. Mechanical Systems and Signal Processing,2015,54/55:195-209.
【6】袁洪芳,周璐.基于声发射信号的风机叶片裂纹定位分析[J].计算机工程与设计, 2011,32(1):320-323.
【7】LI D,CHUN M H,SONG G.A review of damage detection methods for wind turbine blades[J]. Smart Materials and Structures,2015, 24(3): 1-4.[8] 袁慎芳.结构健康监控[M].北京:国防工业出版社,2007.
【8】MISHRA S,KUMAR A,MISHRA R K.Structural health monitoring and propagation of lamb waves to identification of crack[J].Materials Today,2015,2(4/5): 1833-1840.
【9】季赛,黄丽萍,孙亚杰.面向无线传感结构健康监测的压缩感知方法研究[J].传感技术学报,2013,26(12):1740-1746.
【10】STEPINSKI T, AMBROZINSKI L, UHL T. Damage imaging using Lamb waves for SHM application[C]. AIP Conference Proceedings.[S.l.]:[s.n], 2015.
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