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Application of empirical mode decomposition in the impact-echo test
This research develops a signal processing method for the impact-echo test based on the EMD in the Hilbert-Huang transform. Because noise, echo wave, surface wave, and modal vibrations usually have separate frequency bands, the EMD can work as an adaptive band filter to separate these signals into different IMF's. As such, the spectrum of the echo IMF has little influence from the other signals, and it contains a clear peak. Hence, one can locate the echo peak without difficulty. The numerical examples and model tests show that the proposed method is quite effective in the separation of noise, echo wave, surface wave, and modal vibrations. With some knowledge about these signals, one can judge which IMF best represents the echo wave. Although mixing modes may arise in the course of EMD, it does not jeopardize the identification of the echo signal. One may decompose the mixing mode by choosing a more stringent stopping criterion. Better yet, the extraction of the echo signal is successful even when the modal vibrations and noise are excessive. The proposed method proves promising in the detection of cracks in concrete, and it certainly can serve as an aid to the conventional Fourier analysis.
Application of empirical mode decomposition in the impact-echo test
This research develops a signal processing method for the impact-echo test based on the EMD in the Hilbert-Huang transform. Because noise, echo wave, surface wave, and modal vibrations usually have separate frequency bands, the EMD can work as an adaptive band filter to separate these signals into different IMF's. As such, the spectrum of the echo IMF has little influence from the other signals, and it contains a clear peak. Hence, one can locate the echo peak without difficulty. The numerical examples and model tests show that the proposed method is quite effective in the separation of noise, echo wave, surface wave, and modal vibrations. With some knowledge about these signals, one can judge which IMF best represents the echo wave. Although mixing modes may arise in the course of EMD, it does not jeopardize the identification of the echo signal. One may decompose the mixing mode by choosing a more stringent stopping criterion. Better yet, the extraction of the echo signal is successful even when the modal vibrations and noise are excessive. The proposed method proves promising in the detection of cracks in concrete, and it certainly can serve as an aid to the conventional Fourier analysis.
Application of empirical mode decomposition in the impact-echo test
Anwendung empirischer Modenzerlegung beim Impakt-Echo-Versuch
Lin, Chia-Ching (Autor:in) / Liu, Pei-Ling (Autor:in) / Yeh, Po-Liang (Autor:in)
NDT&E International ; 42 ; 589-598
2009
10 Seiten, 11 Bilder, 22 Quellen
Aufsatz (Zeitschrift)
Englisch
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