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Mode identification and extraction of broadband ultrasonic guided waves

机译:宽带超声导波的模式识别与提取

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摘要

Lamb waves have dispersion and multimodal characteristics, which are the major reasons for the complexity of their signals. A signal processing technique is established to extract individual dispersive waveforms from raw received Lamb wave signals, even when they interfere with each other in the time-frequency domain. In this technique, the prior knowledge of the dispersion characteristic is utilized for mode identification. On this basis, the propagation distances of concerned modes are estimated and ridge tracking is completed in the interfered neighboring area. Subsequently, an effective time-varying filter, the Vold-Kalman filter, is introduced to isolate these interfered wave modes. When each mode is extracted from the overall Lamb wave signal, accurate quantitative data on propagation characteristics such as energy, attenuation, amplitude, and reflection coefficients can be accurately estimated. The results illustrate a strategy for optimal design of Lamb wave inspections in either a pulse-echo or pitch-catch configuration.
机译:兰姆波具有色散和多峰特性,这是其信号复杂性的主要原因。建立了一种信号处理技术,即使原始接收的兰姆波信号在时频域中相互干扰,也可以从它们中提取出各个分散的波形。在该技术中,将色散特性的先验知识用于模式识别。在此基础上,估计了相关模式的传播距离,并在受干扰的邻近区域完成了脊跟踪。随后,引入了有效的时变滤波器Vold-Kalman滤波器来隔离这些干扰波模式。当从整个Lamb波信号中提取每种模式时,可以准确估计有关传播特性(例如能量,衰减,幅度和反射系数)的准确定量数据。结果说明了在脉冲回波或音高捕获配置中优化设计兰姆波检查的策略。

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