焊接
传感器融合
过程(计算)
熔池
特征(语言学)
计算机科学
保险丝(电气)
信息融合
钨极气体保护焊
电弧焊
人工智能
声学
电子工程
工程类
电气工程
机械工程
语言学
哲学
操作系统
物理
作者
Bin Chen,Jifeng Wang,Shanben Chen
出处
期刊:Industrial Robot-an International Journal
[Emerald (MCB UP)]
日期:2010-03-08
卷期号:37 (2): 168-176
被引量:39
标识
DOI:10.1108/01439911011018948
摘要
Purpose Welding sensor technology is the key technology in welding process, but a single sensor cannot acquire adequate information to describe welding status. This paper addresses arc sensor and sound sensor to acquire the voltage and sound information of pulsed gas tungsten arc welding (GTAW) simultaneously, and uses multi‐sensor information fusion technology to fuse the information acquired by the two sensors. The purpose of this paper is to explore the feasibility and effectiveness of multi‐sensor information fusion in pulsed GTAW. Design/methodology/approach The weld voltage and weld sound information are first acquired by arc sensor and sound sensor, then the features of the two signals are extracted, and the features are fused by weighted mean method to predict the changes of arc length. The weights of each feature are determined by optional distribution method. Findings The research findings show that multi‐sensor information fusion technology can effectively utilize the information of different sensors and get better result than single sensor. Originality/value The arc sensor and sound sensor are first used at the same time to get information about pulsed GTAW and the fusion result shows its advantages over single sensor; this reveals that multi‐sensor fusion technology is a valuable research area in welding process.
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