熔滴过渡类型光谱信号自动识别软件系统

Automatic Recognition Software System for Metal Transfer of the Metal Gas Arc Welding

根据模式识别原理和方法 ,在Windows环境下以VisualBasic为开发语言 ,成功地开发了一套熔化极气体保护焊 (MIG、MAG、CO2 )熔滴过渡模式识别软件系统。通过试验在特征谱线下 ,采集了大量熔化极气体保护焊五种熔滴过渡的光谱信号波形。该软件系统根据熔滴过渡与光谱信号的对应关系 ,以及熔化极气体保护焊五种熔滴过渡的光谱信号波形的几何特征 ,经数据的预处理 ,创造性地抽取了多个关键性的特征参数 ,建立了相应的识别函数和最小距离法分类器。结果表明 ,利用该系统较好地对MIG、MAG和CO2 焊熔滴过渡类型进行自动识别 ,具有较高的准确性和识别精度 。

On the basis of pattern recognition principle and method,an automatic recognition software for metal transfer of the metal gas are welding(MIG. MAG.CO 2 ) is successfully developed with Visual Basic language under the environment of Windows. A lot of spectrum of the metal transfer mode of metal gas are welding have been acquired in characteristic spectrum by testing. According to the relationship between the metal transfer type and spectrums,and geometrical pattern features of waveform of line spectrum , the data are pre treated, several key characteristic pacameters are extracted, and the correspondent recognition function and a minimum distance classifier have been constructed. The results show that using this system, the pattern recognition system of the metal transfer made for MIG.MAG.CO 2 welding can be done automatically. It has good accuracy and recognition precision. This software system provided the basis for controling the metal gas arc welding metal transfer automatically.