Intelligentized Evaluation on Dynamic Characteristics of CO2 Arc Welding Power Source Based on Key Eigen values and Support Vector Machine

摘要：

The automated evaluation on dynamic characteristic of the arc welding power source has currently emerged as a popular research topic. This technology is vital to the detection of automated welding and test on the quality of new welding machines. Gradually substituting the traditional manual detection, the technology can also release the burden of welders and lower the cost of human resource. Based on experiments, this paper has explored and then selected 9 Eigen values which are closely related to the dynamic characteristics of CO2 arc welding power source. In accordance with the binary classification using SVM, the dynamic characteristics were further examined and next defined whether qualified or not. Results of experiments show that the method has fully achieved the intelligentized evaluation on dynamic characteristics of CO2 arc welding power source, reaching an accuracy rate of 94.8718％, which is both theoretically and practically valuable.

关键词： arc welding power source dynamic characteristics intelligentized

作者: GAO Liwen XUE Jiaxiang LIN Fang ZHANG Wen CHEN Hui

作者单位: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Ch School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Ch

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2572-2575

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）