电测与仪表Issue(4)：19-23,5.
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
摘要
Abstract
The dispersion and multiple modes which exist in the Lamb waves propagating in metal plates make it ex-tremely 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 ana-lyzed.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 com-ponent in the time-frequency domain, the aliasing Lamb wave testing signals of defects in the time domain can be rec-ognized.关键词
兰姆波/频散/时频分析/短时傅里叶变换( STFT)Key words
lamb waves/dispersion/time-frequency analysis/short-time fourier transform分类
信息技术与安全科学引用本文复制引用
张宇,黄松岭,赵伟,王珅..基于 STFT 的金属板缺陷兰姆波检测信号模式识别[J].电测与仪表,2015,(4):19-23,5.基金项目
国家“863”重大项目资助（2011AA090301）；国家自然科学基金资助项目 （）
