Image reconstruction using RAPID Algorithm with Time-Frequency analysis

Alvarez-Lares, J.; Wang, Q.

doi:10.1109/iciea48937.2020.9248181

Image reconstruction using RAPID Algorithm with Time-Frequency analysis

Alvarez-Lares, J.; Wang, Q.

Authors

J. Alvarez-Lares

Dr Qing Wang qing.wang@durham.ac.uk
Associate Professor

Abstract

The detection of cracks is crucial in some industries, such as petroleum and aerospace. In order to detect these cracks, a modification to the Reconstruction Algorithm for Probabilistic Inspection Damage (RAPID) has been proposed. This modification consists of comparing the time-frequency content of the signals instead of only analysing their waveforms. This analysis has some advantages over the usual analysis, such as filtering the signal and observing the behaviour of defects with different frequencies. The results of this experiment show the ability of this new approach to localize defects agreeing with the real position of the defect. However, the shape detection of this approach needs to be improved. Nevertheless, the modification presented in this paper shows great potential and with further work it is possible to obtain better results.

Citation

Alvarez-Lares, J., & Wang, Q. (2020). Image reconstruction using RAPID Algorithm with Time-Frequency analysis. . https://doi.org/10.1109/iciea48937.2020.9248181

Conference Name	The 15th IEEE Conference on Industrial Electronics and Applications
Conference Location	Kristiansand, Norway
Start Date	Nov 9, 2020
End Date	Nov 13, 2020
Acceptance Date	Jun 1, 2020
Online Publication Date	Nov 9, 2020
Publication Date	Nov 9, 2020
Deposit Date	Dec 18, 2020
Publicly Available Date	Jan 4, 2021
Series ISSN	2158-2297
DOI	https://doi.org/10.1109/iciea48937.2020.9248181
Publisher URL	https://ieeexplore.ieee.org/document/9248181

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