A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm
Yang, Lei1,2; Li, En1; Long, Teng1,2; Fan, Junfeng1,2; Mao, Yijian1,2; Fang, Zaojun1; Liang, Zize1
2018
发表期刊INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
卷号94期号:1-4页码:1209-1220
文章类型Article
摘要In the modern manufacturing industry, the welding quality is one of the key factors which affect the structural strength and the comprehensive quality of the products. It is an important part to establish the standard of welding quality detection and evaluation in the process of production management. At present, the detection technologies of welding quality are mainly performed based on the 2D image features. However, due to the influence of environmental factors and illumination conditions, the welding quality detection results based on grey images are not robust. In this paper, a novel welding detection system is established based on the 3D reconstruct technology for the arc welding robot. The shape from shading (SFS) algorithm is used to reconstruct the 3D shapes of the welding seam and the curvature information is extracted as the feature vector of the welds. Furthermore, the SVM classification method is adopted to perform the evaluation task of welding quality. The experimental results show that the system can quickly and efficiently fulfill the detection task of welding quality, especially with good robustness for environmental influence cases. Meanwhile, the method proposed in this paper can well solve the weakness issues of conventional welding quality detection technologies.
关键词Welding Quality Sfs 3d Reconstruction Feature Extraction Svm
WOS标题词Science & Technology ; Technology
DOI10.1007/s00170-017-0991-9
关键词[WOS]VISION ; SYSTEM ; TRACKING ; MACHINE ; MODELS ; LASER ; SHAPE
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(6140-3372) ; National Science and Technology Support Program of China(2015BAF01B01)
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Manufacturing
WOS记录号WOS:000419114100093
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20704
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Yang, Lei,Li, En,Long, Teng,et al. A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2018,94(1-4):1209-1220.
APA Yang, Lei.,Li, En.,Long, Teng.,Fan, Junfeng.,Mao, Yijian.,...&Liang, Zize.(2018).A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm.INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,94(1-4),1209-1220.
MLA Yang, Lei,et al."A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm".INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 94.1-4(2018):1209-1220.
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