磁控电弧焊缝跟踪传感信号的实时小波降噪方法
|
摘要
通过对磁控电弧传感信号的频谱分析,发现表征焊缝位置信息的特征信号与干扰信号处在不同的频段;针对焊缝跟踪系统的实时性要求,提出了一种基于滑动固定数据窗的电弧传感信号实时小波降噪方法.该方法动态地截取电弧传感信号的实时数据,并通过选用正交紧支撑小波与舍弃电弧传感信号的第一、二层细节信号的小波分解方法,大大降低了传感信号降噪算法的计算量,保证了算法的实时性;最后采用DSP技术,对实际的焊接电流信号按该方法进行了大量的在线实时降噪试验.结果表明,采用该方法对磁控电弧传感信号进行降噪处理,能够满足系统的去噪要求及实时性要求.
According to the frequency spectrum of magnetism-control transducing signal,it is found out that the frequency band of signal characterized the position of the seam is different from the interference signal.With regard to the real-time requirement of seam tracking system,a real-time wavelet denoising method was put forward based on sliding the fixed data window.In this way,a real-time data of arc transducing signal is taken dynamically.Through using decomposition method of orthogonal compactly supported wavelet and the 1st and 2nd layer's detail signal of the discarded arc tranducing signal,the amount of calculation is reduced,therefore the real-time of this method is guaranteed.Then DSP is used in the experiment on the actual welding current signal to check the denoising effect.It is shown that this method used in de-noising satisfies the requirements of de-noising and real-time.
According to the frequency spectrum of magnetism-control transducing signal,it is found out that the frequency band of signal characterized the position of the seam is different from the interference signal.With regard to the real-time requirement of seam tracking system,a real-time wavelet denoising method was put forward based on sliding the fixed data window.In this way,a real-time data of arc transducing signal is taken dynamically.Through using decomposition method of orthogonal compactly supported wavelet and the 1st and 2nd layer's detail signal of the discarded arc tranducing signal,the amount of calculation is reduced,therefore the real-time of this method is guaranteed.Then DSP is used in the experiment on the actual welding current signal to check the denoising effect.It is shown that this method used in de-noising satisfies the requirements of de-noising and real-time.
引文
[1]费跃农.电弧传感器基础理论及焊缝跟踪系统的研究[D].北京:清华大学,1990.
[2]洪波,魏复理,来鑫,等.一种用于焊缝跟踪的磁控电弧传感器[J].焊接学报,2008,29(5):1-4.Hong bo,Wei Fuli,Lai Xin,et al.A magnetic control arc sensorused in weld seam tracking[J].Transactions of the China WeldingInstitution,2008,29(5):1-4.
[3]Luo Hong,Zeng Hao,Hu Lunji,et al.Application of artificialneural network in laser welding defect diagnosis[J].Journal ofMaterials Processing Technology,2005,170(2):403-411.
[4]黄军芬,蒋力培.基于二维小波分析的焊缝坡口边缘检测[J].焊接学报,2003,24(6):69-72.Huang Junfen,Jiang Lipei.The weld groove edge detection basedon two-dimensional wavelet analysis[J].Transactions of the ChinaWelding Institution,2003,24(6):69-72.
[5]杨立军,徐立城,张晓囡,等.短路过渡CO2焊电信号的小波滤波[J].焊接学报,2006,27(8):31-34.Yang Lijun,Xu Licheng,Zhang Xiaonan,et al.Electrical signalwavelet filter of CO2 welding short circuit transfer[J].Transactionsof the China Welding Institution,2006,27(8):31-34.
[6]潘际銮.现代弧焊控制[M].北京:机械工业出版社,2000.
[7]汤谨晖,欧阳美娟.小波变换在地震信号降噪中的应用[J].科技广场,2010(5):150-152.Tang Jinhui,Ouyang Meijuan.The application of wavelet trans-form for seismic signal de-noise[J].Science Mosaic,2010(5):150-152.
[2]洪波,魏复理,来鑫,等.一种用于焊缝跟踪的磁控电弧传感器[J].焊接学报,2008,29(5):1-4.Hong bo,Wei Fuli,Lai Xin,et al.A magnetic control arc sensorused in weld seam tracking[J].Transactions of the China WeldingInstitution,2008,29(5):1-4.
[3]Luo Hong,Zeng Hao,Hu Lunji,et al.Application of artificialneural network in laser welding defect diagnosis[J].Journal ofMaterials Processing Technology,2005,170(2):403-411.
[4]黄军芬,蒋力培.基于二维小波分析的焊缝坡口边缘检测[J].焊接学报,2003,24(6):69-72.Huang Junfen,Jiang Lipei.The weld groove edge detection basedon two-dimensional wavelet analysis[J].Transactions of the ChinaWelding Institution,2003,24(6):69-72.
[5]杨立军,徐立城,张晓囡,等.短路过渡CO2焊电信号的小波滤波[J].焊接学报,2006,27(8):31-34.Yang Lijun,Xu Licheng,Zhang Xiaonan,et al.Electrical signalwavelet filter of CO2 welding short circuit transfer[J].Transactionsof the China Welding Institution,2006,27(8):31-34.
[6]潘际銮.现代弧焊控制[M].北京:机械工业出版社,2000.
[7]汤谨晖,欧阳美娟.小波变换在地震信号降噪中的应用[J].科技广场,2010(5):150-152.Tang Jinhui,Ouyang Meijuan.The application of wavelet trans-form for seismic signal de-noise[J].Science Mosaic,2010(5):150-152.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心