Online diagnosis of joints quality in resistance spot welding for sedan body

doi:10.1007/978-3-319-18997-0_22

	Online diagnosis of joints quality in resistance spot welding for sedan body
	Zhang, Peng-Xian1 ; Zhang, Zhi-Fen 2; Chen, Jian-Hong1
	2015
发表期刊	Advances in Intelligent Systems and Computing
ISSN	21945357
卷号	363 页码:263-272
摘要	The manufacture and assembly of sedan body are primarily accomplished by resistance spot welding (RSW). During the welding process, substandard solders are caused by some random failure factors. In this paper, in order to evaluate the quality of solders a secondary evaluation method was put forward based on electrode displacement signals. Firstly, characteristic parameters of singularity signals were extracted by analyzing the electrode displacement signal of normal state and fault state welding. Then, on-line diagnosis of fault state appearing in the welding process was achieved based on a first-class SVM (support vector machine) recognition model for singular solder joints. Secondly, characteristic parameters as the representation of singularity joints’ quality were extracted from the electrode displacement signal of fault state welding. Then, a second-class SVM model of solder joints quality evaluation was established based on shear strength and indentation depth of solder joints. Further, the quality of singular solder joint was identified. Its verifying results shows that the accuracy rate of the evaluation model come up to 97.1429 %. © Springer International Publishing Switzerland 2015.
关键词	Spot welding Support vector machines Welding electrodes Electrode displacements Evaluation modeling On-line diagnosis Quality evaluation Recognition models Resistance spot welding Singularity signals SVM(support vector machine)
DOI	10.1007/978-3-319-18997-0_22
收录类别	EI
语种	英语
出版者	Springer Verlag
EI入藏号	20154501506862
EI主题词	Quality control
EI分类号	538.2.1 Welding Processes - 538.2.2 Welding Equipment - 723 Computer Software, Data Handling and Applications - 913.3 Quality Assurance and Control
来源库	Compendex
分类代码	538.2.1 Welding Processes - 538.2.2 Welding Equipment - 723 Computer Software, Data Handling and Applications - 913.3 Quality Assurance and Control
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113136
专题	材料科学与工程学院_特聘教授组材料科学与工程学院
作者单位	1.Key Laboratory of Non-ferrous Metal Alloys, The Ministry of Education, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Institute of Welding Engineering, Material Science and Engineering, Shanghai Jiao Tong University, Shanghai; 200240, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Peng-Xian,Zhang, Zhi-Fen,Chen, Jian-Hong. Online diagnosis of joints quality in resistance spot welding for sedan body[J]. Advances in Intelligent Systems and Computing,2015,363:263-272.
APA	Zhang, Peng-Xian,Zhang, Zhi-Fen,&Chen, Jian-Hong.(2015).Online diagnosis of joints quality in resistance spot welding for sedan body.Advances in Intelligent Systems and Computing,363,263-272.
MLA	Zhang, Peng-Xian,et al."Online diagnosis of joints quality in resistance spot welding for sedan body".Advances in Intelligent Systems and Computing 363(2015):263-272.