等效电阻VMD-奇异谱熵双丝PMIG焊稳定性评价方法
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摘要
变分模态分解(Variational Mode Decomposition,VMD)方法能有效地抑制模态混叠现象,信噪分离效果良好,利用VMD分解铝合金双丝PMIG(Pulse Metal Inert Gas,PMIG)焊接电弧等效电阻,得到包含不同频率特征的本征模态函数(Intrinic Mode Fuction,IMF)可以完整地重构原信号并有效分离噪声。在此基础上进一步计算IMF构成的特征模式矩阵奇异谱熵,提出等效电阻VDM-奇异谱熵方法评价铝合金双丝PMIG焊焊接过程稳定性。通过试验验证了该方法的可行性与可靠性,焊接过程越稳定其对应的等效电阻VMD-奇异谱熵值越小,反之则越大。
Arc equivalent resistance signal of aluminum alloy twin-wire pulse metal insert gas(PMIG) welding was decomposed to several intrinsic mode functions(IMF) by variational mode decomposition(VMD). Each IMF contains the characteristics of the original signal in its own frequency,which can reconstruct the original signal completely and separate the noise effectively. And the singular spectral of the characteristic mode matrix formed by the IMFs was calculated,then,according to the theory of information entropy the singular spectral entropy was obtained. Here the arc equivalent resistance VMD-singular spectral entropy method was proposed to evaluate the stability of aluminum alloy twin-wire PMIG welding,and a series of experiments were carried out with the same current and voltage parameters and other different conditions to test the effectiveness of the method. The results show that the more stable the welding process is the greater the VMD-singular spectral entropy will be,and it can soundly measure the stability of aluminum alloy twin-wire PMIG welding.
Arc equivalent resistance signal of aluminum alloy twin-wire pulse metal insert gas(PMIG) welding was decomposed to several intrinsic mode functions(IMF) by variational mode decomposition(VMD). Each IMF contains the characteristics of the original signal in its own frequency,which can reconstruct the original signal completely and separate the noise effectively. And the singular spectral of the characteristic mode matrix formed by the IMFs was calculated,then,according to the theory of information entropy the singular spectral entropy was obtained. Here the arc equivalent resistance VMD-singular spectral entropy method was proposed to evaluate the stability of aluminum alloy twin-wire PMIG welding,and a series of experiments were carried out with the same current and voltage parameters and other different conditions to test the effectiveness of the method. The results show that the more stable the welding process is the greater the VMD-singular spectral entropy will be,and it can soundly measure the stability of aluminum alloy twin-wire PMIG welding.
引文
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[10]殷树言.气体保护焊工艺基础[M].北京:机械工业出版社,2007.
[2]陈华斌,孔萌,吕娜,等.视觉传感技术在机器人智能化焊接中的研究现状[J].电焊机,2017,47(3):1-16.
[3]郭勇,李志勇,赵洪志,等.基于Lab VIEW的焊接过程多信息分析平台[J].电焊机,2012,42(4):8-22.
[4]陈善本,吕娜.焊接智能化与智能化焊接机器人技术研究进展[J].电焊机,2013,43(5):28-36.
[5]周晓晓,王克鸿,杨嘉佳,等.等效电阻模糊熵双丝PMIG焊稳定性评价方法[J].焊接学报,2017,38(7):107-110.
[6]洪波,戴江平,李振凯,等.基于经验小波变换的磁控埋弧焊焊缝跟踪信号分析[J].焊接学报,2017,38(6):37-40.
[7]孙洁娣,肖启阳,温江涛,等.基于LMD包络谱熵及SVM的天然气管道微小泄漏孔径识别[J].机械工程学报,2014,50(20):18-25.
[8]李昌林,孔凡让,黄伟国,等.基于EEMD和Laplace小波的滚动轴承故障诊断[J].振动与冲击,2014,33(3):63-69.
[9]Dragomiretskiy K,Zosso D.Variational Mode Decomposition[J].IEEE Transactions on Signal Processing,2014,62(3):531-544.
[10]殷树言.气体保护焊工艺基础[M].北京:机械工业出版社,2007.