超声导波无损检测中的信号处理研究进展
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摘要
针对信号处理在超声导波检测正问题与逆问题中的不同作用,对若干常用信号处理方法,包括时频分析、小波变换、相关分析法等进行了综述;对希尔伯特-黄变换等方法进行了介绍,表明信号处理在提高信号的可读性、提高缺陷的检测与识别能力、表征被检对象的性能属性等方面具有重要作用．
Modern signal processing has been playing an more important role in ultrasonic guided waves of nondestructive testing and evaluation. To demonstrate how to improve the readability of guided waves signal and enhance the ability of defection identification, a review and comparisons of some methods including timefrequency representations, wavelet analysis, Hilbert-Huang transforms, and cross-correlation techniques and so on have been carried out.
Modern signal processing has been playing an more important role in ultrasonic guided waves of nondestructive testing and evaluation. To demonstrate how to improve the readability of guided waves signal and enhance the ability of defection identification, a review and comparisons of some methods including timefrequency representations, wavelet analysis, Hilbert-Huang transforms, and cross-correlation techniques and so on have been carried out.
引文
[1]刘骁,刘镇清．超声无损检测中逆问题的研究[J]．无损检测,2001,23(10):441-443．LIU Xiao, LIU Zhen-qing. Research on inverse problems in ultrasonic nondestructive testing[J]. Nondestructive Testing, 2001, 23(10): 441-443. (in Chinese)
[2]何存富,吴斌,范晋伟．超声柱面导波技术及其应用研究进展[J]．力学进展,2001,31(2):203-214．HE Cun-fu, WU Bin, FAN Jin-wei. Advances in ultrasonic cylindrical guided waves techniques and their applications[J]. Advances in Mechanics, 2001, 31(2): 203-214. (in Chinese)
[3]罗转翼,程桂芬．随机信号处理与控制基础[M]．第1版．北京:化学工业出版社,2002．
[4] KWUN H, KEITH A B, DYNES C. Dispersion of longitudinal waves propagating in liquid-filled cylindrical shells[J]. Acoustical Society of America, 1999, 105(5) : 2601-2611.
[5]郑祥明,顾向华,史立丰,等．超声兰姆波的时频分析[J]．声学学报,2003,28(4):368-374．ZHENG Xiang-ming, GU Xiang-hua, SHI Li-feng, et al. Time-frequency analysis of Lamb waves[J]. ACTA Acustica, 2003, 28(4): 368-374. (in Chinese)
[6] MARC N, LAURENCE J J, QU Jian-min, et al. Time-frequency representation of Lamb waves[J]. Acoustical Society of America, 2001, 109(5): 1841-1847.
[7] PROSSER W H, MICHAEL D S, SMITH B T. Time-frequency analysis of the dispersion of Lamb modes[J]. Acoustical Society of America, 1999, 105(5): 2669-2676.
[8]范云霄,刘桦．测试技术与信号处理[M]．第2版．北京:中国计量出版社,2002．
[9] BARTELS K A, KWUN H, HANLEY J. Analysis of wave dispersion with applications to magnetostrictive sensing[C]// ASNT 1996 Spring Conference/Fifth Annual Research Symposium. Houston: ASNT, 1996: 80-82.
[10] BILGUTAY N M, SANIIE J. The effect of grain size on flaw visibility enhancement using split-spectrum processing[J]. Mater Eval, 1984, 42(6): 808-814.
[11] ONSAY T, HADDOW A G. Wavelet transform analysis of transient wave propagation in a dispersive medium[J]. Acoustical Society of America, 1994, 95(3): 1441-1449.
[12] LIN S, ITO T, KAWASHIMA K. Sizing of axial defects in pipes with FEM simulation of wavepropagation and wavelet transformation[C]//Proceedings of the IEEE Ultrasonics Symposium'98. New York: IEEE, 1998:877-880.
[13] HE Cun-fu, JIAO Jing-pin, WU Bin, et al. The modal acoustic emission source location technique in pipeline using the wavelet transform of dispersive waves[J]. Journal of Beijing University of Technology, 2004, 30(9) : 96-101.
[14] ABBATE A, KOAY J. Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection [J]. IEEE Transaction on Ultrasonic, Ferroelectrics, and Frequency Control, 1997, 44(1): 14-25.
[15]焦敬品,吴斌,何存富,等．基于模态声发射和小波变换的薄板中导波传播特性的实验研究[J]．中国机械工程, 2004,15(13):1179-1182．JIAO Jing-pin, WU Bin, HE Cun-fu, et al. Experimental research on guided waves propagation in thin plate using wavelet transform and mode acoustic emission[J]. China Mechanical Engineering, 2004, 15(13): 1179-1182. (in Chinese)
[16]焦敬品．管道泄漏模态声发射检测技术研究[D]．北京:北京工业大学机械工程与应用电子技术学院,2004．JIAO Jing-pin. The research of modal acoustic emission in pipeline leak detection[D]. Beijing: College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, 2004. (in Chinese)
[17]励争,夏书满,王君．薄壁管道内部径向裂纹的检测[J]．机械强度,2004,26(6):642-646．LI Zheng, XIA Shu-man, WANG Jun. Detection of the radial crack in a thin-walled tube[J]. Journal of Mechanical Strength, 2004, 26(6): 642-646. (in Chinese)
[18] SIQUEIRA M H S, GATTS C E N, SILVA R R, et al. The use of ultrasonic guided waves and wavelets analysis in pipe inspection[J]. Ultrasonic, 2004, 41: 785-797.
[19]公茂盛,谢礼立．HHT方法在地震工程中的应用之初步探讨[J]．世界地震工程,2003,19(3):39-43．GONG Mao-sheng, XIE Li-li. Discussion on the application of HHT method to earthquake engineering[J]. World Earthquake Engineering, 2003, 19(3): 39-43 . (in Chinese)
[20]孟涛．基于模态声发射的地埋管道泄漏声信号传播特性研究[D]．北京:北京工业大学机械工程与应用电子技术学院,2005．MENG Tao. Research on propagation characteristics of leak signals in buried pipeline based on mae[D]. Beijing: College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, 2005. (in Chinese)
[21] YOUNG H K, SUNG J S, JUN Y K. A new technique for the identification of ultrasonic flaw signals using deconvolution[J]. Ultrasonic, 2004, 41: 799-804.
[22] DAEWON K. Classification of ultrasonic NDE signals using the LMS algorithm and synthetic aperture focusing technique[C]//IEEE International Conference on Computational Intelligence for Measurement systems and Applications. Puerto Rico: IEEE CS Press, 2005: 175-180.
[23] STEPHEN D H, RON R, CHIMENTI D E, et al. Two-sensor ultrasonic spacecraft leak detection using structure-borne noise[J]. Acoustical Society of America, 2005, 6(2): 63-68.
[24] CHEN C H, LEE G G. Neural network for ultrasonic NDE signal classification using time-frequency analysis[C] // IEEE International Conference on Acoustics, Speech, and Signal Processing. New York:IEEE, 1993: 1493-1496.
[25]刘镇清．一种改进的人工神经网络学习算法及其在超声检测中的应用[J]．声学技术,2000,19(4):179-181．LIU Zhen-qing. An improved learning algorithm for artificial neural net work and its application in ultrasonic testing[J]. Technical Acoustics, 2000, 19(4): 179-181. (in Chinese)
[26]弓乐,吴淼．基于LabVIEW和神经网络的超声检测缺陷分类的研究[DB／OL]．[2005-02-24]．http:∥www．paper．edu．cn．GONG Yue, WU Miao. Study on flaw classification in ultrasonic testing based on neural network and LabVIEW program[DB/OL]. [2005-02-24]. http://www.paper.edu.cn. (in Chinese)
[27] SYLVIE L, DANIEL M. Neural classification of lamb wave ultrasonic weld testing signals using wavelet coefficients[J]. IEEE Transactions on Instrumentation and Measurement, 2001, 50(3): 672-678.
[28] SOLIS M, BENITIZ H. Location of material flaws using wavelet analysis and neural network[C]//IEEE Ultrasonic Symposium. New York: IEEE, 2002: 841-844.
[29]刘镇清,刘骁,他得安．用斜探头激发的兰姆波对三层板参数进行反演测试研究[J]．声学学报,2002,27(5):408- 412．LIU Zhen-qing, LIU Xiao, TA De-an. Inverse determinations of the parameters of three-layered plate using angle probe generated Lamb waves[J]. ACTA Acoustics, 2002, 27(5): 408-412. (in Chinese)
[30]明廷锋,朴甲哲,张永祥．基于超声波测量技术的颗粒尺寸分布模型的研究[J]．应用声学,2005,24(2):103-107．MING Ting-feng, PIAO Jia-zhe, ZHANG Yong-xiang. A model of particle size distribution based on ultrasonic measuring technology[J]. Applied Acoustics, 2005, 24(2): 103-107. (in Chinese)
[31]谈文心,张新春．便携式智能超声无损检测系统的研究[J]．无损检测,1997,19(7):181-185．TAN Wen-xin, ZHANG Xin-chun. A research on portable intelligent ultrasonic nondestructive testing system[J]. Nondestructive Testing, 1997, 19(7): 181-185. (in Chinese)
[2]何存富,吴斌,范晋伟．超声柱面导波技术及其应用研究进展[J]．力学进展,2001,31(2):203-214．HE Cun-fu, WU Bin, FAN Jin-wei. Advances in ultrasonic cylindrical guided waves techniques and their applications[J]. Advances in Mechanics, 2001, 31(2): 203-214. (in Chinese)
[3]罗转翼,程桂芬．随机信号处理与控制基础[M]．第1版．北京:化学工业出版社,2002．
[4] KWUN H, KEITH A B, DYNES C. Dispersion of longitudinal waves propagating in liquid-filled cylindrical shells[J]. Acoustical Society of America, 1999, 105(5) : 2601-2611.
[5]郑祥明,顾向华,史立丰,等．超声兰姆波的时频分析[J]．声学学报,2003,28(4):368-374．ZHENG Xiang-ming, GU Xiang-hua, SHI Li-feng, et al. Time-frequency analysis of Lamb waves[J]. ACTA Acustica, 2003, 28(4): 368-374. (in Chinese)
[6] MARC N, LAURENCE J J, QU Jian-min, et al. Time-frequency representation of Lamb waves[J]. Acoustical Society of America, 2001, 109(5): 1841-1847.
[7] PROSSER W H, MICHAEL D S, SMITH B T. Time-frequency analysis of the dispersion of Lamb modes[J]. Acoustical Society of America, 1999, 105(5): 2669-2676.
[8]范云霄,刘桦．测试技术与信号处理[M]．第2版．北京:中国计量出版社,2002．
[9] BARTELS K A, KWUN H, HANLEY J. Analysis of wave dispersion with applications to magnetostrictive sensing[C]// ASNT 1996 Spring Conference/Fifth Annual Research Symposium. Houston: ASNT, 1996: 80-82.
[10] BILGUTAY N M, SANIIE J. The effect of grain size on flaw visibility enhancement using split-spectrum processing[J]. Mater Eval, 1984, 42(6): 808-814.
[11] ONSAY T, HADDOW A G. Wavelet transform analysis of transient wave propagation in a dispersive medium[J]. Acoustical Society of America, 1994, 95(3): 1441-1449.
[12] LIN S, ITO T, KAWASHIMA K. Sizing of axial defects in pipes with FEM simulation of wavepropagation and wavelet transformation[C]//Proceedings of the IEEE Ultrasonics Symposium'98. New York: IEEE, 1998:877-880.
[13] HE Cun-fu, JIAO Jing-pin, WU Bin, et al. The modal acoustic emission source location technique in pipeline using the wavelet transform of dispersive waves[J]. Journal of Beijing University of Technology, 2004, 30(9) : 96-101.
[14] ABBATE A, KOAY J. Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection [J]. IEEE Transaction on Ultrasonic, Ferroelectrics, and Frequency Control, 1997, 44(1): 14-25.
[15]焦敬品,吴斌,何存富,等．基于模态声发射和小波变换的薄板中导波传播特性的实验研究[J]．中国机械工程, 2004,15(13):1179-1182．JIAO Jing-pin, WU Bin, HE Cun-fu, et al. Experimental research on guided waves propagation in thin plate using wavelet transform and mode acoustic emission[J]. China Mechanical Engineering, 2004, 15(13): 1179-1182. (in Chinese)
[16]焦敬品．管道泄漏模态声发射检测技术研究[D]．北京:北京工业大学机械工程与应用电子技术学院,2004．JIAO Jing-pin. The research of modal acoustic emission in pipeline leak detection[D]. Beijing: College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, 2004. (in Chinese)
[17]励争,夏书满,王君．薄壁管道内部径向裂纹的检测[J]．机械强度,2004,26(6):642-646．LI Zheng, XIA Shu-man, WANG Jun. Detection of the radial crack in a thin-walled tube[J]. Journal of Mechanical Strength, 2004, 26(6): 642-646. (in Chinese)
[18] SIQUEIRA M H S, GATTS C E N, SILVA R R, et al. The use of ultrasonic guided waves and wavelets analysis in pipe inspection[J]. Ultrasonic, 2004, 41: 785-797.
[19]公茂盛,谢礼立．HHT方法在地震工程中的应用之初步探讨[J]．世界地震工程,2003,19(3):39-43．GONG Mao-sheng, XIE Li-li. Discussion on the application of HHT method to earthquake engineering[J]. World Earthquake Engineering, 2003, 19(3): 39-43 . (in Chinese)
[20]孟涛．基于模态声发射的地埋管道泄漏声信号传播特性研究[D]．北京:北京工业大学机械工程与应用电子技术学院,2005．MENG Tao. Research on propagation characteristics of leak signals in buried pipeline based on mae[D]. Beijing: College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, 2005. (in Chinese)
[21] YOUNG H K, SUNG J S, JUN Y K. A new technique for the identification of ultrasonic flaw signals using deconvolution[J]. Ultrasonic, 2004, 41: 799-804.
[22] DAEWON K. Classification of ultrasonic NDE signals using the LMS algorithm and synthetic aperture focusing technique[C]//IEEE International Conference on Computational Intelligence for Measurement systems and Applications. Puerto Rico: IEEE CS Press, 2005: 175-180.
[23] STEPHEN D H, RON R, CHIMENTI D E, et al. Two-sensor ultrasonic spacecraft leak detection using structure-borne noise[J]. Acoustical Society of America, 2005, 6(2): 63-68.
[24] CHEN C H, LEE G G. Neural network for ultrasonic NDE signal classification using time-frequency analysis[C] // IEEE International Conference on Acoustics, Speech, and Signal Processing. New York:IEEE, 1993: 1493-1496.
[25]刘镇清．一种改进的人工神经网络学习算法及其在超声检测中的应用[J]．声学技术,2000,19(4):179-181．LIU Zhen-qing. An improved learning algorithm for artificial neural net work and its application in ultrasonic testing[J]. Technical Acoustics, 2000, 19(4): 179-181. (in Chinese)
[26]弓乐,吴淼．基于LabVIEW和神经网络的超声检测缺陷分类的研究[DB／OL]．[2005-02-24]．http:∥www．paper．edu．cn．GONG Yue, WU Miao. Study on flaw classification in ultrasonic testing based on neural network and LabVIEW program[DB/OL]. [2005-02-24]. http://www.paper.edu.cn. (in Chinese)
[27] SYLVIE L, DANIEL M. Neural classification of lamb wave ultrasonic weld testing signals using wavelet coefficients[J]. IEEE Transactions on Instrumentation and Measurement, 2001, 50(3): 672-678.
[28] SOLIS M, BENITIZ H. Location of material flaws using wavelet analysis and neural network[C]//IEEE Ultrasonic Symposium. New York: IEEE, 2002: 841-844.
[29]刘镇清,刘骁,他得安．用斜探头激发的兰姆波对三层板参数进行反演测试研究[J]．声学学报,2002,27(5):408- 412．LIU Zhen-qing, LIU Xiao, TA De-an. Inverse determinations of the parameters of three-layered plate using angle probe generated Lamb waves[J]. ACTA Acoustics, 2002, 27(5): 408-412. (in Chinese)
[30]明廷锋,朴甲哲,张永祥．基于超声波测量技术的颗粒尺寸分布模型的研究[J]．应用声学,2005,24(2):103-107．MING Ting-feng, PIAO Jia-zhe, ZHANG Yong-xiang. A model of particle size distribution based on ultrasonic measuring technology[J]. Applied Acoustics, 2005, 24(2): 103-107. (in Chinese)
[31]谈文心,张新春．便携式智能超声无损检测系统的研究[J]．无损检测,1997,19(7):181-185．TAN Wen-xin, ZHANG Xin-chun. A research on portable intelligent ultrasonic nondestructive testing system[J]. Nondestructive Testing, 1997, 19(7): 181-185. (in Chinese)
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