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基于HHT的主动兰姆波金属疲劳裂纹损伤监测研究

李明 肖迎春 刘国强

李明, 肖迎春, 刘国强. 基于HHT的主动兰姆波金属疲劳裂纹损伤监测研究[J]. 机械科学与技术, 2015, 34(6): 910-913. doi: 10.13433/j.cnki.1003-8728.2015.0618
引用本文: 李明, 肖迎春, 刘国强. 基于HHT的主动兰姆波金属疲劳裂纹损伤监测研究[J]. 机械科学与技术, 2015, 34(6): 910-913. doi: 10.13433/j.cnki.1003-8728.2015.0618
Li Ming, Xiao Yingchun, Liu Guoqiang. Research on Fatigue Crack Monitoring by Active Lamb Wave Based on HHT[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(6): 910-913. doi: 10.13433/j.cnki.1003-8728.2015.0618
Citation: Li Ming, Xiao Yingchun, Liu Guoqiang. Research on Fatigue Crack Monitoring by Active Lamb Wave Based on HHT[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(6): 910-913. doi: 10.13433/j.cnki.1003-8728.2015.0618

基于HHT的主动兰姆波金属疲劳裂纹损伤监测研究

doi: 10.13433/j.cnki.1003-8728.2015.0618
详细信息
    作者简介:

    李明(1980-),工程师,硕士研究生,研究方向为压电传感器技术和结构健康监测,liakali@sohu.com

Research on Fatigue Crack Monitoring by Active Lamb Wave Based on HHT

  • 摘要: 由于兰姆波具有频散效应,使得其信号形式较为复杂、分析困难,这就为损伤监测中的模式波包提取带来了很大的难度。利用希尔伯特-黄变换(Hilbert-Huang Transform,HHT)对信号包络进行提取,可以达到简化原始信号、提高损伤监测精度和效率的目的。与利用短时傅里叶变换(Short Time Fourier Transform,STFT)提取信号包络的方法相比,希尔伯特-黄变换的自适应性更强、效率更高,更适合兰姆波分析。通过对铝制薄板中的裂纹扩展监测试验表明,结合了希尔伯特-黄变换的损伤指数法,对兰姆波信号的模式提取更为准确、对裂纹的扩展也更为敏感。
  • [1] Roh Y S, Chang F K. Built in diagnostics for identifying an anomaly in plates using wave scattering[D]. Dissertation Department of Aeronautics and Astronautics, Stanford University,1999
    [2] Alleyne D N, Cawley P. The interaction of Lamb waves with defects[J]. Ultrason. Ferroelectr. Freq. Control,1992,39:381-97
    [3] Ihn J B, Chang F K. Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics[J]. Smart Material and Structure,2004,13:609-620
    [4] Viktorov I A. Rayleigh and lamb waves[M]. Plenum Press, New York,1967
    [5] 李刚.时频分析方法在智能结构损伤在线检测中的应用研究[D].南京:南京航空航天大学,2005 Li G. Research on the time-frequency analysis technique for on-line damage detection of smart structure[D]. Nanjing: Nanjing University of Aeronautics and Astronautics,2005 (in Chinese)
    [6] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[C]// Proceedings of the Royal Society of London A,1998,454:903-995
    [7] 张海涛,涂亚庆.基于FFT 的一种计及负频率影响的相位差测量新方法[J].计量学报,2008,29(2):168-171 Zhang Haitao; Tu Yaqing. A new method for phase difference measurement based on FFT with negative frequencu contribution[J]. Acta Metroloica Sinica,2008,29(6):60-61 (in Chinese)
    [8] 徐红梅,郝志勇,杨陈.基于EMD和HHT的内燃机噪声信号时频特性研究[J].内燃机工程,2008,29(6):60-61 Xu H M, Hao Z Y, Yang C. Study on the time-frenquency characteristics of engine noise signal based on EMD and HHT[J]. Chinese Inrenal Combustion Engine Engineering,2008,29(6):60-61 (in Chinese)
    [9] Huang N E. Hilbert-huang transform and its applications[M]. World Scientific Publishing Co. Pte. Ltd,2005
    [10] Pavlakovic B, Lowe M. A system for generating[M]. Dispersion Curves-User's Manual for Disperse V.2.0,2000
    [11] Lowe M J S, Pavlakovic B N, Cawley P. Guided wave NDT of structures: a general purpose computer model for calculating waveguide properties[C]// Workshop on Structural Health Monitoring, Stanford, USA,2001
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出版历程
  • 收稿日期:  2013-08-07
  • 刊出日期:  2015-06-05

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