不同保护气下电弧声信号的短时能量与共振峰分析

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英文篇名：Analysis of short-time energy and formant of arc acoustic signals under a different shielding gases 作者：黄林然 ; 高延峰 ; 王齐胜 ; 龚岩峰 英文作者：HUANG Lin-ran;GAO Yan-feng;WANG Qi-sheng;GONG Yan-feng;School of Aeronautic Manufacturing Engineering, Nanchang Hangkong University; 关键词：保护气 ; 电弧声 ; 短时能量 ; 共振峰 英文关键词：shielding gas;;arc acoustic signal;;short-time energy;;formant 中文刊名：HSJJ 英文刊名：Welding Technology 机构：南昌航空大学航空制造工程学院; 出版日期：2019-01-24 出版单位：焊接技术 年：2019 期：v.48;No.312 基金：国家自然科学基金资助项目(51465043) 语种：中文; 页：HSJJ201901063 页数：6 CN：01 ISSN：12-1070/TG 分类号：5+11-15

摘要

利用电弧声信号对焊接质量进行在线监控是一种简便有效的方法,但是关于保护气成分对电弧声信号影响方面的研究还鲜有报道。文中建立了电弧声信号采集系统,首先对采集到的声信号进行小波去噪处理,提高其信噪比,然后分别从时域、短时能量和共振峰的角度对Ar气、 CO2气和φ(Ar)80%+φ(CO2)20%混合气环境下电弧声信号进行分析。从信号的短时能量特征可见,随着CO2气体浓度的增大,电弧声信号能量降低,幅值变化频率升高。从信号的共振峰特征可见, 3种保护气环境下电弧声信号都有5个共振峰,其中φ(Ar)80%+φ(CO2)20%混合气体环境下幅值最大的共振峰频率最高,氩气环境下的最低,这说明不同保护气形成的电弧声道对电弧声声源的调制作用不同。研究结果可为气体保护焊的焊接过程实时监控提供依据。
        Applying arc sounds to monitor the welding process was a simple and effective method. However, there was very little literature available that specifically addresses the influences of shielding gas on arc sounds. In the paper, an arc acoustic signal acquisition system was established, and the welding arc sound signals in the environment of argon, mixture gas of φ(Ar)80%+φ(CO2)20% and CO2 were acquired. A wavelet de-noising method was adopted to eliminate the noises of arc sound in welding process. Then the short-time energy and the formant of the arc acoustic signals were analyzed. The results showed that with the increasing of CO2 concentration the energy of arc sound decreases and the changing frequency of signal amplitude increases accordingly. It was visible from the signal characteristic of the formant, there were 5 formant in the arc acoustic signal of the three kinds of shielding gases. In the environment of φ(Ar)80%+φ(CO2)20% gas, the maximum amplitude of the formant was the highest, and it was lowest in the environment of argon. It was showed that the different shielding gases formed different tone channel of welding arc and then caused different modulation of arc sound source. The results provided evidence for real-time monitoring of welding process.

引文

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