Experimental study on infrared thermal wave detection of honeycomb sandwich structure defects by using barker code excitation
The paper describes a thermal testing system implementing Barker code thermal wave excitation accurately detect defects in GFRP/NOMEX honeycomb sandwich structures. Influence of defect parameters on detection efficiency is explored. Four algorithms, namely, PCA, PPT, THD, and TW-PCA, have been used to process infrared image sequences. The obtained results show that all algorithms suppress background noise to a certain degree, but the TW-PCA technique has proven to be more effective providing the higher both signal-to-noise ratio and information entropy.
Authors
- Rui Xie (ORCID: https://orcid.org/0000-0001-9337-0841)
- Qingju Tang
- Zhuo-Yan Gu
- V. P. Vavilov (ORCID: https://orcid.org/0000-0002-9828-7374)
- A. O. Chulkov (ORCID: https://orcid.org/0000-0003-1226-0013)
- Haodong Li (ORCID: https://orcid.org/0009-0003-4485-0445)
- Hong-Ru Bu
Institutions
- Heilongjiang University of Science and Technology (CN)
- National Research Tomsk State University (RU)
- Tomsk Polytechnic University (RU)
Publication Details
- Journal
- Thermal Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.2298/tsci2502273t
- Primary Topic
- Thermography and Photoacoustic Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Heilongjiang Province
- Ministry of Science and Higher Education of the Russian Federation