Secondary Time-frequency Analysis for Arc Energy Characteristics of AC Square Wave Submerged Arc Welding

被引：0
|
作者：
Xiao, Si-Wen [1 ,3 ]
Wang, Chao [1 ,2 ]
Zhou, Zhi-Peng [1 ,2 ]
He, Kuan-Fang [1 ,2 ]
机构：
[1] Hunan Univ Sci & Technol, Coll Mech & Elect Engn, Xiantan 411201, Peoples R China
[2] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipmen, Xiantan 411201, Peoples R China
[3] Hunan Univ Sci & Technol, Hunan Prov Key Lab High Efficiency Precis Cutting, Xiangtan 411201, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON MECHANICAL SCIENCE AND MECHANICAL DESIGN, MSMD 2015 | 2015年
关键词：
AC square wave submerged arc welding; Arc signal; Energy characteristics; WVD; Choi-Williams kernel;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In process of AC square wave submerged arc welding, electric signal waveform determines the arc energy characteristics in the time and frequency domain, which also reflects the arc stability of welding process and quality indirectly. Using Wigner-Ville distribution (WVD), time frequency analysis is conducted to the current signal of AC square wave submerged arc welding. The Pseudo Wigner-Ville and smoothed Wigner-Ville distribution are discussed separately to suppress the cross-term interference. The numerical results indicate that the Choi-Williams kernel function has much superiority for time frequency analysis of the submerged arc welding electric signal. It can effectively suppress cross-term and eliminate noise in the Wigner-Ville distribution of welding electric signal, as well as owing the ability to portray the local feature of arc energy in AC square wave submerged arc welding.
引用
收藏
页码：338 / 345
页数：8
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