小波分析用于钢板孔洞的涡流检测研究
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摘要
小波的时频局部化和多尺度特性,使其特别适用于信号的奇异性探测和瞬态信号的检测以及强周期性噪声干扰下非平稳信息的提取。将小波分析用于钢板孔洞测量的数据处理过程中,通过以最大信噪比为依据的自定义信息代价函数来获取小波包最优基函数,使重构信号的信噪比大幅度提高,从而确保了钢板孔洞的测量精度与分辨率。实验分析表明,小波分析不仅可用于单孔信号的高效定位提取,而且通过一定的逻辑分析与判断,同样适用于连孔和多孔信号以及存在管道焊缝信号的高效分辨。
Wavelet analysis is useful and effective in the singularity detection and transient analysis of signal and acquiring of non-steady information under a seriously periodic interfering noise because of its characteristics of time-frequency localization and multi-resolution.A wavelet analysis method was used in the data processing for detection of hole defects in steel plate.The signal-to-noise ratio(SNR) of reconstructed signal was increased by the prior wavelet packet basis acquired with a self-defined cost function based on the maximum SNR.So the measurement precision and discernibility of hole defects in steel plate were ensured.The experimental analysis shows that the wavelet analysis can be used to identify not only a single hole signal but also the link hole or multi-hole and existing welding line signal by some logical analysis and judgment.
Wavelet analysis is useful and effective in the singularity detection and transient analysis of signal and acquiring of non-steady information under a seriously periodic interfering noise because of its characteristics of time-frequency localization and multi-resolution.A wavelet analysis method was used in the data processing for detection of hole defects in steel plate.The signal-to-noise ratio(SNR) of reconstructed signal was increased by the prior wavelet packet basis acquired with a self-defined cost function based on the maximum SNR.So the measurement precision and discernibility of hole defects in steel plate were ensured.The experimental analysis shows that the wavelet analysis can be used to identify not only a single hole signal but also the link hole or multi-hole and existing welding line signal by some logical analysis and judgment.
引文
[1]彭玉华.小波变换与工程应用[M].北京:科学出版社,2000.
[2]张佩瑶,马孝江,王吉军,等.小波包信号提取算法及其在故障诊断中的应用[J].大连理工大学学报,1997,37(1):67-72.ZHANG Pei-yao,MA Xiao-jiang,WANG Ji-jun,et al.Wavelet packet signal extracting algorithm and its appli-cation to fault diagnosis[J].Journal of Dalian Universityof Technology,1997,37(1):67-72.
[3]杨理践,李松松,王玉梅,等.小波包在管道漏磁信号分析中的应用[J].仪器仪表学报,2002,23(增刊):484-485.YANG Li-jian,LI Song-song,WANG Yu-mei,et al.The application of wavelet packet in flux leakage signalsanalysis of pipeline[J].Chinese Journal of Scientific In-strument,2002,23(supl):484-485.
[4]黄成军,郁惟镛.小波包在局部信号极性检测中的应用[J].电网技术,2001,25(1):30-33.HUANG Cheng-jun,YU Wei-yong.Applcation ofwavelet packets in detecting polarity of partial dischargesignal[J].Power System Technology,2001,25(1):30-33.
[5]孙延奎.小波分析及其应用[M].北京:机械工业出版社,2005.
[6]李建平.小波分析与信号处理———理论、应用及软件实现[M].重庆:重庆出版社,1997.
[7]郑治真,沈萍,杨选辉,等.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.
[2]张佩瑶,马孝江,王吉军,等.小波包信号提取算法及其在故障诊断中的应用[J].大连理工大学学报,1997,37(1):67-72.ZHANG Pei-yao,MA Xiao-jiang,WANG Ji-jun,et al.Wavelet packet signal extracting algorithm and its appli-cation to fault diagnosis[J].Journal of Dalian Universityof Technology,1997,37(1):67-72.
[3]杨理践,李松松,王玉梅,等.小波包在管道漏磁信号分析中的应用[J].仪器仪表学报,2002,23(增刊):484-485.YANG Li-jian,LI Song-song,WANG Yu-mei,et al.The application of wavelet packet in flux leakage signalsanalysis of pipeline[J].Chinese Journal of Scientific In-strument,2002,23(supl):484-485.
[4]黄成军,郁惟镛.小波包在局部信号极性检测中的应用[J].电网技术,2001,25(1):30-33.HUANG Cheng-jun,YU Wei-yong.Applcation ofwavelet packets in detecting polarity of partial dischargesignal[J].Power System Technology,2001,25(1):30-33.
[5]孙延奎.小波分析及其应用[M].北京:机械工业出版社,2005.
[6]李建平.小波分析与信号处理———理论、应用及软件实现[M].重庆:重庆出版社,1997.
[7]郑治真,沈萍,杨选辉,等.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.
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