Visual seam tracking system for butt weld of thin plate
文献类型：期刊论文
| 作者 | Fang, Zaojun ; Xu, De; Tan, Min
|
| 刊名 | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
 |
| 出版日期 | 2010-07-01 |
| 卷号 | 49期号:5-8页码:519-526 |
| 关键词 | Image-based visual control Seam tracking Butt weld Structured light Feature extraction |
| 英文摘要 | An image-based visual seam tracking system is designed for butt weld of thin plate in this paper. The torch deviation from the joint in the horizontal direction is measured from the seam image. Since the weld seam is so narrow, its image is based on natural lighting. Due to the hardness of measuring depth information using monocular vision, structured laser light is used for detecting the torch deviation in the vertical direction. For steady seam tracking, a robust and fast feature extraction algorithm is developed. Moreover, a reliable controller is designed with error filtering and output pulse verification. Finally, experiments are conducted to verify the proposed seam tracking system. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Engineering, Manufacturing |
| 研究领域[WOS] | Automation & Control Systems ; Engineering |
| 关键词[WOS] | FUZZY-LOGIC ; ALGORITHM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000278625400012 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3464]  |
| 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 | Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Zaojun,Xu, De,Tan, Min. Visual seam tracking system for butt weld of thin plate[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2010,49(5-8):519-526. |
| APA | Fang, Zaojun,Xu, De,&Tan, Min.(2010).Visual seam tracking system for butt weld of thin plate.INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,49(5-8),519-526. |
| MLA | Fang, Zaojun,et al."Visual seam tracking system for butt weld of thin plate".INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 49.5-8(2010):519-526. |
入库方式： OAI收割
来源：自动化研究所
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