ACQUIRING AND PATTERN RECOGNITION OF SPECTRUM INFORMATION OF WELDING METAL TRANSFER

In order to recognize various metal transfer modes, by the creation of apattern recognition system for metal transfer mode, five kinds of spectrum signal in gas metal arcwelding (MIG, MAG and CO_2) are collected and taken as training samples. These samples arepretreated by computer. Several key characteristic parameters of the spectrum signal are creativelyextracted, and a corresponding recognition function and a minimum-distance-classifier areconstructed. The results show that using this method, the pattern recognition of several kinds ofmetal transfer mode for the metal gas arc welding can be done successfully. It has good accuracy andrecognition precision, basis for controlling the metal gas arc welding metal transferautomatically, and relative important parameters in welding process, such as the frequency ofdroplet transfer and the approximate diameter of each droplet, can also be obtained.

熔滴过渡光谱信息的计算机自动识别

利用熔滴过渡光谱信息自动识别系统,采集了熔化极气体保护焊(MIG、MAG、CO2)5种熔滴过渡形式的光谱信号作为样本,采用计算机进行预处理,创造性地提取了多个熔滴过渡光谱信号波形关键性的特征,建立了判别法则和最小距离分类器。结果表明,成功地对各种熔滴过渡形式进行模式识别,并计算出过渡频率、熔滴平均直径等与焊接质量密切相关的参数。

熔化极气体保护焊熔滴过渡光谱信号模式识别系统的研究

为实现熔化极气体保护焊熔滴过渡类型的自动识别 ,开发了熔滴过渡光谱信号模式识别系统 ,利用此系统 ,获得了大量各种熔滴过渡类型的光谱信号。以此为样本 ,根据模式识别的原理和方法 ,在 Windows环境下 ,以 Visual Basic为开发语言 ,设计了熔滴过渡光谱信号模式识别软件 ,成功地对各种熔滴过渡类型进行了自动识别。