Characteristic Analysis and Pattern Recognition of Arc Sound under Typical Penetration Status in MIG Welding

摘要：

Aiming at proposing an online monitoring method of penetration status in MIG welding, audible arc sound signal under partial penetration, unstable penetration, full penetration and excessive penetration in the course of flat butt welding with spray transfer was collected, processed and analyzed. And then 11 characteristic parameters, which can characterize weld penetration status from the perspectives on time, frequency, cepstrum and geometry-domains, were extracted by using wavelet de-noising and short-time windowing. At last, 8- dimensional eigenvector with most information of penetration status were re-synthesized with the help of feature-level parameter fusion technology of principal component analysis (PCA). Thereby, taking 8-dimensional eigenvector as input and viewing four penetration status as export. network models for identifying penetration status about BP and RBF were established. The application of test models proved that both constructed networks could realize the online recognition of penetration status. Moreover, the accuracy rate in RBF network was 6.25％ more than BP, and arrived at 91.25％.

关键词： MIG welding Arc sound Penetration status Pattern recognition Characteristic analysis

作者: Shujuan Bi Hu Lan Hongyan Zheng Lijun Liu

作者单位: College of Mathematics and Computer Harbin Institute Harbin,Heilongjiang Province,China Rongcheng College Harbin University of Science and Technology Rongcheng,Shandong Province,China Ningbo Institute of Technology Zhejiang University Ningbo,Zhejiang Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）