Sparse Signal Recovery for ultrasonic detection and reconstruction of shadowed flaws
Kirchhof J, Krieg F, Romer F, Ihlow A, Osman A, Del Galdo G (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 816-820
Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Event location: New Orleans, LA, USA
ISBN: 9781509041176
DOI: 10.1109/ICASSP.2017.7952269
Abstract
In this paper we propose a method to improve the detection of shadowed flaws in ultrasonic non-destructive testing (NDT). The B-scans are expressed in the context of Sparse Signal Recovery (SSR), where the shadowing effect is incorporated during the reconstruction: Whenever a new defect is found, its shadow on all other dictionary atoms is determined and the dictionary is updated accordingly. We develop models for determining the affected dictionary entries as well as for the intensity of the attenuation due to the shadow. Using Orthogonal Matching Pursuit (OMP), we demonstrate that the proposed method significantly improves the reconstruction amplitudes, i.e., the detection reliability, compared to conventional detection without incorporation of shadowing.
Involved external institutions
Technische Universität Ilmenau
Germany (DE)
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP) / Fraunhofer Institute for Nondestructive Testing
Germany (DE)
Germany (DE)
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP) / Fraunhofer Institute for Nondestructive Testing
Germany (DE)
How to cite
APA:
Kirchhof, J., Krieg, F., Romer, F., Ihlow, A., Osman, A., & Del Galdo, G. (2017). Sparse Signal Recovery for ultrasonic detection and reconstruction of shadowed flaws. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 816-820). New Orleans, LA, USA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kirchhof, Jan, et al. "Sparse Signal Recovery for ultrasonic detection and reconstruction of shadowed flaws." Proceedings of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, LA, USA Institute of Electrical and Electronics Engineers Inc., 2017. 816-820.
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