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Application of empirical mode decomposition in the impact-echo test

机译:经验模态分解在冲击回波测试中的应用

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摘要

This research develops a signal processing method for the impact-echo test based on the empirical mode decomposition (EMD) in the HiIbert-Huang transform (HHT). First, apply the decomposition to decompose the impact-echo signal into several intrinsic mode functions (IMF's). Then, the Fourier analysis is performed on each IMF. Examining the behaviors of the IMF's in the time and frequency domain, one can judge which IMF represents noise, echo wave, surface wave, or modal vibrations. Since the echo IMF has little influence from the other signals, one can locate the echo peak easily. Numerical simulations and model tests show that the proposed method is promising in the detection of internal cracks in concrete even when the vibration and noise signals are strong.
机译:这项研究基于HiIbert-Huang变换(HHT)中的经验模式分解(EMD),开发了一种用于冲击回波测试的信号处理方法。首先,应用分解将冲击回波信号分解为几个固有模式函数(IMF)。然后,对每个IMF进行傅立叶分析。通过检查IMF在时域和频域中的行为,可以判断哪个IMF代表了噪声,回波,表面波或模态振动。由于回波IMF受其他信号的影响很小,因此可以轻松定位回波峰。数值模拟和模型测试表明,该方法在振动和噪声信号较强的情况下,对于检测混凝土内部裂缝还是很有希望的。

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