基于独立元分析的GMAW缺陷在线监测

采用独立元分析(ICA),用于气体保护焊过程在线监测.通过对过程的电参数进行独立元分析,去除焊接电流和电弧电压之间的相关性并提取出独立元.通过试验验证ICA对GMAW过程在线监测的可行性,发现当焊接过程有突变性干扰时,独立元(IC)能够对干扰做出反应.结果表明,IC可以作为表征过程是否异常的一个状态变量,通过对IC进行统计过程控制,能够分离出焊穿缺陷.并将ICA与主元分析(PCA)的结果进行了比较.

On-line monitoring of gas metal arc welding defects based on independent component analysis

A novel method,independent component analysis(ICA),was introduced to gas metal arc welding(GMAW) process on-line monitoring.ICA was applied to arc signals to remove the correlation between welding current and arc voltage to get independent component(IC).Experiments were carried out to study the feasibility of ICA for on-line monitoring of GMAW process.It is found that IC puts up an abnormity when there is a step disturbance in the welding process.Experimental results showed that IC could be used as a state variable representing the process variation.By using statistical process control for the obtained IC,the burning-through defect can be isolated from the normal situation.The comparison between ICA and principal component analysis was also done for the process.