Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology

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	Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology
	Wang, Xueping 1,2,3; Zhang, Jianfei 1; Li, Wanrun 1,2,3; Du, Yongfeng 1,2,3; Li, Hui 1,2,3
刊名	Taiyangneng Xuebao/Acta Energiae Solaris Sinica
	2020-05-28
卷号	41 期号:5 页码:166-173
关键词	Computer vision Image segmentation Wind power Extraction of characteristics Generating efficiencies Image intensification Image processing technique Monitoring methods Nondestructive detecting method Nondestructive detection Spatial filterings
ISSN号	02540096
英文摘要	The generating efficiency of wind power and safety of wind power structure are seriously influenced by such defects as eroded pits, scratches, cracks, etc. caused from surface of wind power blades under wind sand environment. A kind of nondestructive detecting method for the surface of wind power blades based on machine vision is put forward in this thesis to rapidly detect out whether there is defect on the surface of blades. The method combines machine vision theory and image processing techniques to realize the identification of defect area in blade and extraction of characteristic parameters by such algorithms as graying, spatial filtering, image intensification, image segmentation, image denoising, morphological remodeling, etc. For collected blade images, so as to reduce the impact of noise and artificial reading on defect accuracy of blade surface, for providing reference for the automation and digitization of future nondestructive detection. © 2020, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.
语种	中文
出版者	Science Press
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115169]
专题	土木工程学院基建规划处
作者单位	1.Earthquake Protection and Disaster Mitigation Institute, Lanzhou University of Technology, Lanzhou; 730050, China; 2.School of Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.Disaster Prevention and Mitigation Engineering Research Center of Western Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Wang, Xueping,Zhang, Jianfei,Li, Wanrun,et al. Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology[J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica,2020,41(5):166-173.
APA	Wang, Xueping,Zhang, Jianfei,Li, Wanrun,Du, Yongfeng,&Li, Hui.(2020).Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology.Taiyangneng Xuebao/Acta Energiae Solaris Sinica,41(5),166-173.
MLA	Wang, Xueping,et al."Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology".Taiyangneng Xuebao/Acta Energiae Solaris Sinica 41.5(2020):166-173.