基于包络Hlder指数的AE信号初至时刻精确拾取
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摘要
声发射(AE)信号初至时刻精确拾取是声发射源定位中的关键问题,该文探讨基于连续小波变换的Hlder指数方法拾取AE信号初至时刻,为突出信号初至时刻的奇异性特征,提出对信号包络估计的包络Hlder指数方法。通过对模拟AE信号和金属裂纹AE信号应用结果表明:包络Hlder指数可以精确提取AE信号的初至时刻,误差小于2μs,能为AE源定位提供一种有效手段。
The identification of the first arrival time of acoustic emission(AE) signal is one of the key problems in AE source location.This paper presented a method of envelope Hlder exponent to identify the first arrival time of AE signal.Firstly,the envelope by Hilbert transform was extracted to highlight the singularity character of signal.Then,Hlder exponents of the envelope signal were estimated and the curve based on these exponents showed the first arrival time distinctly.Applied the method to AE signals produced by pen lead and metal crack propagation,the first arrival time can be identified correctly.The identified error was less than 2 μs.The research results demonstrated that the proposed method can identified the first arrival time of AE signals precisely.
The identification of the first arrival time of acoustic emission(AE) signal is one of the key problems in AE source location.This paper presented a method of envelope Hlder exponent to identify the first arrival time of AE signal.Firstly,the envelope by Hilbert transform was extracted to highlight the singularity character of signal.Then,Hlder exponents of the envelope signal were estimated and the curve based on these exponents showed the first arrival time distinctly.Applied the method to AE signals produced by pen lead and metal crack propagation,the first arrival time can be identified correctly.The identified error was less than 2 μs.The research results demonstrated that the proposed method can identified the first arrival time of AE signals precisely.
引文
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[3]Kurz J H,Grosse C U,Reinhardt H W.Strategies for reliable automatic onset time picking of acoustic emis-sion and of ultrasound signals in concrete[J].Ultrason-ics,2005(43):538-546.
[4]王晓伟,刘占生,窦唯.基于AR模型的声发射信号到达时间自动识别[J].振动与冲击,2009,28(11):79-83.
[5]叶根喜,姜福兴,杨淑华.时窗能量特征法拾取微地震波初始到时的可行性研究[J].地球物理学报,2008,51(5):1574-1581.
[6]詹毅,钟本善.利用小波变换提高地震波初至拾取的精确度[J].成都理工大学学报,2004,31(6):703-707.
[7]Deng X Y,Wang Q H,Chen X K.A time-frequency localization method for singular signal detection using wav-elet-based H觟lder exponent and hilbert transform[C]∥2008 Congress on Image and Signal Processing,2008:266-270.
[8]李春峰.Christopher.基于小波多尺度分析的奇异性指数:一种新地震属性[J].地球物理学报,2005,48(4):882-888.
[9]江涌涛,张春良,胡耀斌,等.小波变换在切削颠振特征提取中的应用[J].中国测试技术,2006,32(3):7-8,15.
[10]朱洪俊,秦树人,彭丽玲.小波变换对突变信号峰值奇异点的精确检测[J].机械工程学报,2002,38(12):10-15.
[11]Mallat S,Hwang W L.Singularity detection and pro-cessing with wavelets[J].Transactions on Information Theory,1992,38(2):617-643.
[12]Mallat S.A wavelet tour on signal processing[M].New York:Academic Press,2001.
[13]李力.机械信号处理及其应用[M].武汉:华中科技大学出版社,2007.
[2]Lokajíǒk T,Klíma K.A first arrival identification sys-tem of acoustic emission(AE)signals by means of a high-order statistics approach[J].Measruement Science and Technology,2006(17):2461-2466.
[3]Kurz J H,Grosse C U,Reinhardt H W.Strategies for reliable automatic onset time picking of acoustic emis-sion and of ultrasound signals in concrete[J].Ultrason-ics,2005(43):538-546.
[4]王晓伟,刘占生,窦唯.基于AR模型的声发射信号到达时间自动识别[J].振动与冲击,2009,28(11):79-83.
[5]叶根喜,姜福兴,杨淑华.时窗能量特征法拾取微地震波初始到时的可行性研究[J].地球物理学报,2008,51(5):1574-1581.
[6]詹毅,钟本善.利用小波变换提高地震波初至拾取的精确度[J].成都理工大学学报,2004,31(6):703-707.
[7]Deng X Y,Wang Q H,Chen X K.A time-frequency localization method for singular signal detection using wav-elet-based H觟lder exponent and hilbert transform[C]∥2008 Congress on Image and Signal Processing,2008:266-270.
[8]李春峰.Christopher.基于小波多尺度分析的奇异性指数:一种新地震属性[J].地球物理学报,2005,48(4):882-888.
[9]江涌涛,张春良,胡耀斌,等.小波变换在切削颠振特征提取中的应用[J].中国测试技术,2006,32(3):7-8,15.
[10]朱洪俊,秦树人,彭丽玲.小波变换对突变信号峰值奇异点的精确检测[J].机械工程学报,2002,38(12):10-15.
[11]Mallat S,Hwang W L.Singularity detection and pro-cessing with wavelets[J].Transactions on Information Theory,1992,38(2):617-643.
[12]Mallat S.A wavelet tour on signal processing[M].New York:Academic Press,2001.
[13]李力.机械信号处理及其应用[M].武汉:华中科技大学出版社,2007.
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