Impact Echo Signal Interpretation Using Ensemble Empirical Mode Decomposition

摘要

One of the biggest obstacles for impact-echo application is data interpretation.Fourier transform is limited by its cumulative feature; Short Time Fourier Transform(STFT) and wavelet transform give a time-frequency analysis but at a sacrifice ofresolution. Empirical mode decomposition (EMD) is an adaptive time-frequencyanalysis method that has been applied to interpret impact-echo data recently, but it hasthe mode mixing problem when surface wave intermits the signal. In this paper, animproved empirical mode decomposition (EMD) method, ensemble empirical modedecomposition (EEMD), which can effectively solve the previous problem by simplyadding white noise, is applied to analyze the impact-echo data. EMD, EEMD as wellas wavelet transform are applied to the numerical data of concrete deck defected by adelamination and results have shown EEMD is more promising at certain points.