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Proceedings Paper

Composite delamination detection using infrared images
Author(s): Chi-Man Kwan; Roger Xu; Leonard S. Haynes
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Paper 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.

Paper Details

Date Published: 10 October 2001
PDF: 4 pages
Proc. SPIE 4369, Infrared Technology and Applications XXVII, (10 October 2001); doi: 10.1117/12.445319
Show Author Affiliations
Chi-Man Kwan, Intelligent Automation, Inc. (United States)
Roger Xu, Intelligent Automation, Inc. (United States)
Leonard S. Haynes, Intelligent Automation, Inc. (United States)

Published in SPIE Proceedings Vol. 4369:
Infrared Technology and Applications XXVII
Bjorn F. Andresen; Gabor F. Fulop; Marija Strojnik, Editor(s)

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