Smart Sound Processing for Residual Thickness Estimation using Guided Lamb Waves generated by EMAT
Conference: Publication Date: 25 March 2018Testing Method:
The objective of this paper is to establish signal processing tools for estimating the group and the phase velocity of a given mode in guided Lamb waves, with the objective of analyzing the best configuration for determining the depth of a given defect in a metallic pipe. Studies of the size of the damages with all the extracted parameters are then used to propose estimators of the residual thickness, considering amplitude and phase information. Results demonstrate the suitability of the proposal, improving the estimation of the residual thickness.
- Green, R.E., 2004. “Non-contact ultrasonic techniques”. Ultrasonics, 42, 9–16.
- Zhai, G., Jiang, T., Kang, L., 2014. “Analysis of multiple wavelengths of Lamb waves generated by meander-line coil EMATs”. Ultrasonics, 54, 632–636.
- Salzburger, H.J., Niese, F., Dobmann, G., 2012. “EMAT pipe inspection with guided waves”. Welding in the world, 56, 35–43.
- Demma, A., 2003. The interaction of guided waves with discontinuities in structures. PhD thesis, University of London.
- Cobb, A.C., Fisher, J.L., 2016. “Flaw depth sizing using guided waves”. AIP Conference Proceedings. AIP Publishing, Vol. 1706, p. 030013.
- Weisz, L., 2016. “Pattern Recognition Statistical Structural and Neural Approaches”. Pattern Recognition, 1, 2.
- Hagan, M.T.; Menhaj, M.B., 1994. “Training feedforward networks with the Marquardt algorithm”. IEEE transactions on Neural Networks, 5, 989–993.
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