摘要
焊接线能量与焊缝熔透程度密切相关,它代表了焊缝接收到的电弧能量大小。针对MIG焊焊接线能量的检测识别问题,提出基于电弧声MFCC特征的识别方法。电弧声声信号由声源的激励脉冲与声道冲激响应卷积而成,焊接线能量的变化导致电弧声道发生变化,也因此改变了声道传输特性。基于此,模拟人耳的听觉感知机理,提取MFCC特征,得到电弧声信号在Mel频域的声道包络。特征向量为电弧声MFCC特征的基础上,建立支持向量机模型。运算结果表明,该方法对焊接过程中不同线能量的总体识别率达到99.25%,且计算速度较快,从而为焊接质量在线监控提供了一种新方法。
The weld line energy represents the arc energy received by the weld and is closely related to the weld penetration.Aiming at the detection and identification of MIG welding line energy,a recognition method based on arc sound MFCC characteristics is proposed.The arc acoustic signal is formed by the convolution of the excitation pulse of the sound source and the impulse response of the sound channel.Based on this,the auditory perception mechanism of the human ear is simulated,MFCC characteristics are extracted,and the channel envelope of arc acoustic signals in the Mel frequency domain is obtained.The MFCC feature of arc sound is used as the feature vector to establish a support vector machine model.The calculation results show that the overall recognition rate of different heat input in the welding process by this method is 99.25%,and the calculation speed is faster,which provides a new method for online monitoring of welding quality.
作者
黄林然
罗海泉
赵佳敏
王齐胜
龚岩峰
HUANG Lin-ran;LUO Hai-quan;ZHAO Jia-min;WANG Qi-sheng;GONG Yan-feng(School of Aeronautic Manufacturing Engineering,Nanchang Hangkong University,Nanchang 330063,China;AVIC Shanghai Aero Measurement Controlling Research Institute,Shanghai 201601,China)
出处
《南昌航空大学学报（自然科学版）》
CAS
2020年第4期58-65,共8页
Journal of Nanchang Hangkong University(Natural Sciences)
基金
航空科学基金(2018ZE56013)。
关键词
焊接线能量
电弧声
MFCC特征
状态识别
welding line energy
arc sound
MFCC characteristics
state recognition
