Hai Zhang, Stefano Sfarra, Ahmad Osman, Klaus Szielasko, Christopher Stumm, Marc Genest, Xavier Maldague
https://ieeexplore.ieee.org/document/8353417/
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 pre-processing 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 pre-processed data as a
post-processing 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.
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