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文章摘要
基于STFT的金属板缺陷兰姆波检测信号模式识别
Mode Recognition of Lamb Wave Testing Signals of Metal Plate’s Defects Based on STFT
Received:November 10, 2014  Revised:November 10, 2014
DOI:
中文关键词: 兰姆波  频散  时频分析  短时傅里叶变换(STFT)
英文关键词: Lamb  waves, dispersion, time-frequency  analysis, short-time  Fourier transform
基金项目:国家高技术研究发展计划(863计划);国家自然科学基金项目(面上项目,重点项目,重大项目)
Author NameAffiliationE-mail
ZHANG Yu State Key Lab of Power System,Department of Electrical Engineering,Tsinghua University 278964039@qq.com 
HUANG Song-ling* State Key Lab of Power System,Department of Electrical Engineering,Tsinghua University huangsling@tsinghua.edu.cn 
ZHAO Wei State Key Lab of Power System,Department of Electrical Engineering,Tsinghua University  
WANG Shen State Key Lab of Power System,Department of Electrical Engineering,Tsinghua University  
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中文摘要:
      金属板中传播的兰姆波具有频散及多模态等特点,使对缺陷检测回波信号的分析及识别异常困难。时频分析是处理非平稳信号的有力工具之一,可揭示信号的时变谱特征。本文搭建了垂直耦合方式下单层铝板缺陷检测实验平台,利用短时傅里叶变换(STFT)对铝板缺陷兰姆波检测信号进行处理,分析了其频散特性;通过在时频平面中提取和分析与激励频率对应的频率分量,对在时域中混叠的兰姆波检测信号进行了模式识别。结果表明,STFT对金属板缺陷兰姆波检测信号的时频分析效果较好,通过提取时频平面中特定频率分量的方法,可对时域中混叠的缺陷兰姆波检测信号进行模式识别。
英文摘要:
      The dispersion and multiple modes which exist in the Lamb waves propagating in metal plates make it extremely hard to analyze and recognize the detection and echo signals. Time-frequency analysis is one of the powerful tools to deal with the non-stationary signal, which can reveal the time-varying spectral characteristics of signals. The experimental platform with defected single aluminum plate coupling in the vertical way is setup and the detected Lamb wave signals are analyzed by the short-time Fourier transform (STFT) method. The dispersion characteristics are analyzed. By extracting and analyzing the excited frequency corresponded component in the time-frequency domain, the aliasing Lamb wave testing signals in the time domain are recognized. The results show that STFT can achieve a good analysis for the Lamb wave testing signals of metal plate’s defects, and by extracting some particular frequency component in the time-frequency domain, the aliasing Lamb wave testing signals of defects in the time domain can be recognized.
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