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10 October 2001 Composite delamination detection using infrared images
Chi-Man Kwan, Roger Xu, Leonard S. Haynes
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Proceedings Volume 4369, Infrared Technology and Applications XXVII; (2001) https://doi.org/10.1117/12.445319
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States
Abstract
This paper summarizes our results of detecting composite delamination using infrared camera. Rivets in airframe are usually made of composite materials. It is very difficult to detect rivet delamination as conventional optical methods can not identify the delaminations. Here a neural net-based image- processing tool was developed by Intelligent Automation, Inc. (IAI) to process the infrared images. The tool consists of Fast Fourier Transform (FFT), Principal Component Analysis (PCA), and Fuzzy CMAC (Cerebellar Model Arithmetic Computer) neural networks. Results show that our tool can accurately pinpoint those delaminated rivet heads.
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Chi-Man Kwan, Roger Xu, and Leonard S. Haynes "Composite delamination detection using infrared images", Proc. SPIE 4369, Infrared Technology and Applications XXVII, (10 October 2001); https://doi.org/10.1117/12.445319
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KEYWORDS
Fuzzy logic
Head
Principal component analysis
Image segmentation
Composites
Image processing
Infrared imaging
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