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|Title:||Evaluation of signal processing schemes in guided wave damage identification|
|Citation:||Proceedings of the Fourth International Symposium on Life-Cycle Civil Engineering, as published in Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management, 2014 / Furuta, H., Frangopol, D., Akiyama, M. (ed./s), pp.1043-1050|
|Conference Name:||Fourth International Symposium on Life-Cycle Civil Engineering (16 Nov 2014 - 19 Nov 2014 : Tokyo, Japan)|
|Abstract:||This paper presents an evaluation of the performance of signal processing schemes in guided wave damage identification. A Bayesian probabilistic approach is proposed to not only provide quantitative identification results. The levels of accuracy and degree of uncertainty associated with the damage identification results using data extracted by four signal processing schemes, Hilbert transform, Fast Fourier transform, Gabor wavelet transform and discrete wavelet decomposition, were compared in detail. The guided wave signals used in this study were experimentally measured from beams with a single damage. Two damage cases were considered in the study and the results shows that a suitable signal processing scheme produces more robust identification of damage in a structure.|
|Rights:||© Taylor & Francis Group|
|Appears in Collections:||Aurora harvest 8|
Civil and Environmental Engineering publications
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