Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 14, Issue 12, Pages 5629-5636Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2018.2832244
Keywords
Empirical orthogonal function (EOF); fourier transform; lightweight honeycomb; polynomial fitting; terahertz (THz)
Categories
Funding
- Canada Research Chair in Multipolar Infrared Vision
- Natural Sciences and Engineering Research Council Canada
- Fonds de Recherche du Qubec-Nature et Technologies
- Regroupement pour l'etude des Environnements Partags Intelligents Rpartis through the International Internship Program [211450]
Ask authors/readers for more resources
In this paper, terahertz time-domain spectroscopy (THz-TDS) is used for the first time to detect fabricated defects in a glass fiber-skinned lightweight honeycomb composite panel. A novel amplitude polynomial regression (APR) algorithm is proposed as a preprocessing method. This method segments the amplitude-frequency curves to simulate the heating and the cooling monotonic behavior as in infrared thermography. Then, the method of empirical orthogonal function (EOF) imaging is applied on the APR preprocessed data as a postprocessing algorithm. Signal-to-noise ratio analysis is performed to verify the image improvement of the proposed APR-EOF modality from a quantitative point of view. Finally, the experimental results and the physical analysis show that THz is more suitable with respect to the detection of defects in glass fiber lightweight honeycomb composites.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available