CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
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
Source PublicationINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
2018
Volume94Issue:1-4Pages:1209-1220
SubtypeArticle
AbstractIn 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.
KeywordWelding Quality Sfs 3d Reconstruction Feature Extraction Svm
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00170-017-0991-9
WOS KeywordVISION ; SYSTEM ; TRACKING ; MACHINE ; MODELS ; LASER ; SHAPE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(6140-3372) ; National Science and Technology Support Program of China(2015BAF01B01)
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Manufacturing
WOS IDWOS:000419114100093
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20704
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.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
Recommended Citation
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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