Automatic recognition system of welding seam type based on SVM method

doi:10.1007/s00170-017-0202-8

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进机器人控制团队

	Automatic recognition system of welding seam type based on SVM method
	Fan, Junfeng1,2 ; Jing, Fengshui1,2 ; Fang, Zaojun1 ; Tan, Min1,2
刊名	INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
	2017-09-01
卷号	92 期号:1-4 页码:989-999
关键词	Welding Seam Type Recognition Structured-light Vision Svm Method Feature Extraction
DOI	10.1007/s00170-017-0202-8
文献子类	Article
英文摘要	In this paper, an automatic recognition system of welding seam type based on support vector machine (SVM) method is presented. The hardware of the proposed system consists of an industry robot with six degrees of freedom, a vision sensor, and a computer. The system has two parts including input feature vector computation and model building. In the input feature vector computation part, the depth values of a series of points of the welding joint are taken as feature vector, which are determined by four steps including main line extraction of the laser stripe, normalization of the laser stripe, selection of the left and right edge points of the welding joint, and normalization of feature vectors. In the model building part, SVM-based modeling method is used to achieve welding seam type recognition. At first, RBF kernel function is employed for classification of welding seam types. Then, the parameters of RBF are determined by a grid search method using cross-validation. After the optimal parameters of RBF being determined, the SVM model is built, and it could be used to predict welding seam type. Finally, a series of welding seam type recognition experiments are implemented. Experimental results show that the proposed system can achieve welding seam type recognition accurately and the computation cost can be reduced compared with previous methods.
WOS关键词	GTAW PROCESS ; TRACKING ; SENSOR ; ACQUISITION ; INFORMATION
WOS研究方向	Automation & Control Systems ; Engineering
语种	英语
WOS记录号	WOS:000407815500079
资助机构	National Natural Science Foundation of China(61305024 ; Foundation for Innovative Research Groups of the National Natural Science Foundation of China(61421004) ; 61273337 ; 61573358)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/19951]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
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	Fan, Junfeng,Jing, Fengshui,Fang, Zaojun,et al. Automatic recognition system of welding seam type based on SVM method[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2017,92(1-4):989-999.
APA	Fan, Junfeng,Jing, Fengshui,Fang, Zaojun,&Tan, Min.(2017).Automatic recognition system of welding seam type based on SVM method.INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,92(1-4),989-999.
MLA	Fan, Junfeng,et al."Automatic recognition system of welding seam type based on SVM method".INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 92.1-4(2017):989-999.