.png){kind=icon}
返回
Automatic Welding Seam Tracking and Identification
.png){kind=icon}
PRE
AI
DOI：10.1109/TIE.2017.2694399.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the automatic welding process on mid/thick plates, the precision of the welding position has an important effect on welding quality, which mainly relies on the identification of the welding seam. However, due to some possible disturbances in complex unstructured welding environments, e.g., strong arc lights, welding splashes, thermal-induced deformations, etc., it is a great challenge to identify the welding seam. In this paper, we propose a robust automatic welding seam identification and tracking method by utilizing structured-light vision. First, after the preprocessing of the welding image, the gray distribution of the laser stripe is tracked and the profile of the welding seam is searched in a small area by using the Kalman filter, with the aim to avoid some disturbances. Second, in order to extract the welding seam profile, a series of centroids obtained by scanning the columns in the rectangular window are fitted using the least-squares method. Third, a character string method is proposed to qualitatively describe the welding seam profile, which might consist of different segment and junction relationship elements. And then, these character strings acquired from the object image are matched with those from the model, so that the position of the welding seam can be determined. Finally, the advantages of the new algorithm are testified and compared through several experiments.
Keyword:
Automatic welding
Kalman filter
qualitative description
welding seam identification
welding tracking
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.2
论文数:
1.8W
被引数:
9.8W
机构
引用论文
Multisensor Fusion System for Monitoring High-Power Disk Laser Welding Using Support Vector Machine
.png){kind=icon}
PREAI
分享收藏分享收藏RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY随机样本共识-模型拟合的范例，可应用于图像分析和自动制图
OAAI
OAAI分享收藏WPD-PCA-Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM基于FNN和SVM的wpd-pca激光焊接过程监测与缺陷诊断
PREAI
分享收藏Robust Fault-Tolerant Control for a Class of Second-Order Nonlinear Systems Using an Adaptive Third-Order Sliding Mode Control基于自适应三阶滑模控制的一类二阶非线性系统鲁棒容错控制
OAAI
OAAI分享收藏
查看更多内容