图像检测技术在静态风电叶片检测中的应用综述
Summary of Application of Image Detection Technology in Static Wind Power Blade Detection
摘要: 在简述静态风电叶片损伤的基础上，本文主要针对图像检测技术在静态风电叶片无损检测中应用的研究方法及应用现状进行综述研究，重点阐述并横向对比了目视法、红外热成像法、数字图像相关技术、超声检测技术、机器视觉检测技术及其他图像检测技术。这对于图像检测技术在静态风电叶片检测中的应用提供了一定的参考和依据，对其应用前景的拓展起到一定的促进作用。
Abstract: Based on the brief introduction of static wind power blade damage, this paper mainly reviews the research methods and application status of image detection technology in static wind power blade nondestructive testing, and focuses on horizontal contrast of visual method, infrared thermal im-aging method, digital image correlation technology, ultrasonic detection technology, machine vision detection technology and other image detection technology. This will provide some reference and basis for the application of image detection technology in static wind power blade detection, and promote the development of its application prospects.
文章引用：王新生, 蒋杏国, 孙同金. 图像检测技术在静态风电叶片检测中的应用综述[J]. 图像与信号处理, 2019, 8(3): 163-168. https://doi.org/10.12677/JISP.2019.83022

参考文献

[1] Irfan, M., Zhao, Z.-Y., Mukeshimana, M.C., et al. (2019) Wind Energy Development in South Asia: Status, Potential and Policies. 2nd International Conference on Computing, Mathematics and Engineering Technologies, Sukkur, 30-31 January 2019, 1-6.
[Google Scholar] [CrossRef] 
[2] Xie, G. and Li, N. (2018) Research on Development Potential of Global Large Wind Power Bases under Extreme Weather Conditions. 2nd IEEE Conference on Energy Internet and Energy System Integration, Beijing, 20-22 October 2018, 1-4.
[Google Scholar] [CrossRef] 
[3] Burton, T., Sharpe, D., Jenkins, N., et al. (2001) Wind Energy Handbook. John Wiley & Sons, New York, 1-609.
[Google Scholar] [CrossRef] 
[4] Jeong, H. and Lee, J.R. (2015) Investitation of Mobile Ultrasonic Propagation Imager as a Tool for Composite Wind Blade Quality Control. Composite Structures, 133, 39-45.
[Google Scholar] [CrossRef] 
[5] Stiesdal, H. (2014) Redefining the Cost Debate—The Concept of Society’s Cost of Electricity, Global Wind Report: Annual Market Update 2013. Global Wind Energy Council, 6-9.
[6] 刘双, 胡斌, 黄军威, 等. 风电机组叶片的典型缺陷[J]. 风能, 2015(7): 56-58.
[7] 曹金祥, 任彦忠, 王鑫, 等. 关于目视、敲击和超声波联合探伤在风电叶片缺陷检验中的应用分析[J]. 纤维复合材料, 2017, 34(2): 28-33.
[8] Dattoma, V., Marcuccio, R., Pappalettere, C., et al. (2001) Thermographic Investigation of Sandwich Structure Made of Composite Material. NDT & E International, 34, 515-520.
[Google Scholar] [CrossRef] 
[9] 严天鹏. 红外热成像技术在风力机叶片无损检测方面的应用研究[D]: [硕士学位论文]. 北京: 北京工业大学, 2004.
[10] Chatzakos, P., Avdelidis, N. and Hrissagis, K. (2010) Autonomous Infrared (IR) Thermography Based Inspection of Glass Reinforced Plastic (GRP) Wind Turbine Blades (WTBs). In: IEEE Conference on Robotics Automation and Mechatronics, IEEE, Singapore, 557-562.
[Google Scholar] [CrossRef] 
[11] 孟梨雨, 曾智, 王冠, 等. 风电叶片蒙皮与腹板粘接红外热成像检测研究[J]. 光电子技术, 2015, 35(3): 374-378.
[12] 乔建光. 浅谈数字图像相关方法及其在材料力学性能测试中的应用[J]. 科技致富向导, 2013(30): 19.
[13] 苏勇, 张青川, 伍小平. 数字图像相关技术的一些进展[J]. 中国科学:物理学力学天文学, 2018, 48(9): 29-53.
[14] Le Blanc, B., Niezrecki, C., Avitabile, P., et al. (2011) Full-Field Inspection of a Wind Turbine Blade Using Three-Dimensional Digital Image Correlation. Proceedings of SPIE: Industrial and Commercial Applications of Smart Structures Technologies, San Diego, 6-10 March 2011, 7979.
[Google Scholar] [CrossRef] 
[15] Yang, J.S., Peng, C.Y., Xiao, J.Y., et al. (2012) Application of Video-metric Technique to Deformation Measurement for Large-Scale Composite Wind Turbine Blade. Applied Energy, 98, 292-300.
[Google Scholar] [CrossRef] 
[16] 胡雪兵. 基于数字图像相关技术的风电叶片静态特性研究[D]: [硕士学位论文]. 赣州: 江西理工大学, 2016.
[17] Raisuits, R., Jasiuniene, E. and Zukauskad, E. (2008) Ul-trasonic NDT of Wind Turbine Blades Using Guided Waves. Ultrasound, 63, 7-11.
[18] 顾兴旺, 李婷, 龙士国, 等. 风电叶片智能高效便携式C扫描超声检测系统开发[J]. 测控技术, 2018, 37(318): 125-129.
[19] 张建斐. 基于机器视觉的风力发电机叶片表面缺陷检测研究[D]: [硕士学位论文]. 兰州: 兰州理工大学, 2018.
[20] 胡世创, 魏莹玉, 周唯逸, 等. 基于图像处理的风电叶片裂纹检测系统设计[J]. 可再生能源, 2018, 36(8): 129-135.
[21] 徐家园. 风电叶片多光谱图像检测研究[D]: [硕士学位论文]. 南京: 南京航空航天大学, 2016.