Paper
19 May 2005 Application of Hilbert-Huang transform for improved defect detection in terahertz NDE of shuttle tiles
Robert F. Anastasi, Eric I. Madaras
Author Affiliations +
Abstract
Terahertz NDE is being examined as a method to inspect the adhesive bond-line of Space Shuttle tiles for defects. Terahertz signals are generated and detected, using optical excitation of biased semiconductors with femtosecond laser pulses. Shuttle tile samples were manufactured with defects that included repair regions unbond regions, and other conditions that occur in Shuttle structures. These samples were inspected with a commercial terahertz NDE system that scanned a tile and generated a data set of RF signals. The signals were post processed to generate C-scan type images that are typically seen in ultrasonic NDE. To improve defect visualization the Hilbert-Huang Transform, a transform that decomposes a signal into oscillating components called intrinsic mode functions, was applied to test signals identified as being in and out of the defect regions and then on a complete data set. As expected with this transform, the results showed that the decomposed low-order modes correspond to signal noise while the high-order modes correspond to low frequency oscillations in the signal and mid-order modes correspond to local signal oscillations. The local oscillations compare well with various reflection interfaces and the defect locations in the original signal.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert F. Anastasi and Eric I. Madaras "Application of Hilbert-Huang transform for improved defect detection in terahertz NDE of shuttle tiles", Proc. SPIE 5767, Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure IV, (19 May 2005); https://doi.org/10.1117/12.600570
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Cited by 6 scholarly publications.
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KEYWORDS
Signal processing

Nondestructive evaluation

Terahertz radiation

Inspection

Adhesives

Image processing

Manufacturing

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