Lanzhou University of Technology Institutional Repository (LUT_IR)
Characteristics analyzing and parametric modeling of the arc sound in CO2 GMAW for on-line quality monitoring | |
Ma, Yuezhou; Ma, Wenbin; Qu, Min; Chen, Jianhong | |
2006-06-01 | |
发表期刊 | China Welding (English Edition) |
ISSN | 10045341 |
卷号 | 15期号:2页码:6-13 |
摘要 | For on-line monitoring of welding quality, the characteristics of the arc sound signals in short circuit CO2 GMAW were analyzed in the time and frequency domains. The arc sound presents a series of ringing-like oscillations that occur at the end of short circuit i. e. the moment of arc re-ignition, and distributes mainly in the frequency band below 10 kHz. A concept of the arc tone channel and its equivalent electrical model were suggested, which is considered a time-dependent distributed parametric system of which the transmission properties depend upon the geometric and physical characteristics of the arc and surroundings, and is excited by the sound source results from the change of arc energy so that results in arc sound. The linear prediction coding (LPC) model is an estimation of the tone channel. The radial basis function (RBF) neural networks were built for on-line pattern recognition of the gas-lack in welding, in which the input vectors were formed with the LPC coefficients. The test results proved that the LPC model of arc sound and the RBF networks are feasible in on-line quality monitoring. |
关键词 | Monitoring Pattern recognition Quality control Radial basis function networks Arc sound signal analysis Linear prediction coding (LPC) model |
收录类别 | EI |
语种 | 英语 |
出版者 | China Welding |
EI入藏号 | 20063810123478 |
EI主题词 | Gas metal arc welding |
EI分类号 | 538.2.1 Welding Processes - 723.4 Artificial Intelligence - 723.5 Computer Applications - 913.3 Quality Assurance and Control |
来源库 | Compendex |
分类代码 | 538.2.1 Welding Processes - 723.4 Artificial Intelligence - 723.5 Computer Applications - 913.3 Quality Assurance and Control |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/111901 |
专题 | 省部共建有色金属先进加工与再利用国家重点实验室 材料科学与工程学院_特聘教授组 |
作者单位 | State Key Laboratory of Gansu Advanced Non-ferrous Metal Materials, Lanzhou University of Technology, Lanzhou 730050, China |
第一作者单位 | 省部共建有色金属先进加工与再利用国家重点实验室 |
第一作者的第一单位 | 省部共建有色金属先进加工与再利用国家重点实验室 |
推荐引用方式 GB/T 7714 | Ma, Yuezhou,Ma, Wenbin,Qu, Min,et al. Characteristics analyzing and parametric modeling of the arc sound in CO2 GMAW for on-line quality monitoring[J]. China Welding (English Edition),2006,15(2):6-13. |
APA | Ma, Yuezhou,Ma, Wenbin,Qu, Min,&Chen, Jianhong.(2006).Characteristics analyzing and parametric modeling of the arc sound in CO2 GMAW for on-line quality monitoring.China Welding (English Edition),15(2),6-13. |
MLA | Ma, Yuezhou,et al."Characteristics analyzing and parametric modeling of the arc sound in CO2 GMAW for on-line quality monitoring".China Welding (English Edition) 15.2(2006):6-13. |
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