| Issue |
MATEC Web Conf.
Volume 204, 2018
International Mechanical and Industrial Engineering Conference 2018 (IMIEC 2018)
|
|
|---|---|---|
| Article Number | 06002 | |
| Number of page(s) | 5 | |
| Section | Manufacture | |
| DOI | https://doi.org/10.1051/matecconf/201820406002 | |
| Published online | 21 September 2018 | |
Enhancement of shearography-based damage identification using best tree wavelet packet analysis
1
Silesian University of Technology, Institute of Fundamentals of Machinery Design, Konarskiego 18A, 44-100 Gliwice, Poland
2
Instituto Politécnico do Porto, ISEP, DEM, Rua Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal
3
Universidade de Lisboa, Instituto Superior Técnico, IDMEC, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
* Corresponding author: andrzej.katunin@polsl.pl
Shearography found many industrial applications as a non-destructive testing method due to its high spatial resolution and contactless measurements. However, to detect small structural damage, shearography should be enhanced by applying advanced signal processing methods to results of experimental testing. In this paper, the authors present an enhanced method based on the best tree wavelet packet analysis, which allows for extraction of the most informative nodes from the 2D wavelet packet decomposition tree. The proposed method is more effective than typical wavelet transforms due to its ability of adaptive selection of the best basis. The efficiency of the method was verified experimentally on damaged plates. The obtained results clearly show high sensitivity to the introduced small damage, which make the method attractive for industrial applications.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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