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Identification of short transient signals within impactecho data using the hilbert-huang-transform
Impact-Echo (IE) is a method for nondestructive testing in civil engineering and has been successfully applied among other testing problems for thickness measurements and for the localization of defects inside concrete structures. Its application as a scanning method in combination with a visualization technique for the analysis has definitely improved the capabilities of the method. The principle of the method is based on the analysis of multiple reflections after mechanical impact excitation. A small steel sphere or hammer is tapped on the surface of a concrete structure and creates stress waves, which propagate through the material. They are reflected at external boundaries (backwall) or defects inside the structure. A transducer is placed next to the impact point and picks up the surface displacements caused by the arrival of the sound waves. The application of the Hilbert-Huang Transform (HHT) on impact-echo data is discussed and compared to Short-Time-Fourier-Transform(STFT) and wavelet analysis. Practical examples were given, in which the application of the HHT on IE data succeeds in identifying short transient signals, which were not identifiable with the normally used methods of Fast Fourier Transform (FFT) and STFT. Because of its adaptive nature, the Empirical Mode Decomposition (EMD) can be used as a reasonable tool for filtering. Moreover, HHT is unique even for the analysis of data describing nonlinear systems.
Identification of short transient signals within impactecho data using the hilbert-huang-transform
Impact-Echo (IE) is a method for nondestructive testing in civil engineering and has been successfully applied among other testing problems for thickness measurements and for the localization of defects inside concrete structures. Its application as a scanning method in combination with a visualization technique for the analysis has definitely improved the capabilities of the method. The principle of the method is based on the analysis of multiple reflections after mechanical impact excitation. A small steel sphere or hammer is tapped on the surface of a concrete structure and creates stress waves, which propagate through the material. They are reflected at external boundaries (backwall) or defects inside the structure. A transducer is placed next to the impact point and picks up the surface displacements caused by the arrival of the sound waves. The application of the Hilbert-Huang Transform (HHT) on impact-echo data is discussed and compared to Short-Time-Fourier-Transform(STFT) and wavelet analysis. Practical examples were given, in which the application of the HHT on IE data succeeds in identifying short transient signals, which were not identifiable with the normally used methods of Fast Fourier Transform (FFT) and STFT. Because of its adaptive nature, the Empirical Mode Decomposition (EMD) can be used as a reasonable tool for filtering. Moreover, HHT is unique even for the analysis of data describing nonlinear systems.
Identification of short transient signals within impactecho data using the hilbert-huang-transform
Algernon, D. (author) / Wiggenhauser, H. (author)
2005
9 Seiten, 12 Bilder, 12 Quellen
Conference paper
English
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