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Proceedings Paper

A comparison of time series analysis algorithms for detection of barely visible impact damage in UAV wings
Author(s): Mary Ann F. Harrison; Steven Knudsen; Mark Seaver; Jonathan Nichols; Steve Trickey; Louis Pecora; Daniel Pecora
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Paper Abstract

We investigate the use of a vibrational approach for the detection of barely visible impact damage in a composite UAV wing. The wing is excited by a shaker according to a predetermined signal, and the response is observed by a system of fiber Bragg grating strain sensors. We use two different driving sequences: a stochastic signal consisting of white noise, and the output from a chaotic Lorenz oscillator. On these data we apply a variety of time series analysis techniques to detect, quantify, and localize the damage incurred from a pendulum impactor, including classical linear analysis (e.g. modal analyses), as well as recently developed nonlinear analysis methods. We compare the performance of these methods, investigate the reproducibility of the results, and find that two nonlinear statistics are able to detect barely visible damage.

Paper Details

Date Published: 20 March 2006
PDF: 12 pages
Proc. SPIE 6176, Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V, 61760B (20 March 2006); doi: 10.1117/12.657884
Show Author Affiliations
Mary Ann F. Harrison, Institute for Scientific Research, Inc. (United States)
Steven Knudsen, Institute for Scientific Research, Inc. (United States)
Mark Seaver, Naval Research Lab. (United States)
Jonathan Nichols, Naval Research Lab. (United States)
Steve Trickey, Naval Research Lab. (United States)
Louis Pecora, Naval Research Lab. (United States)
Daniel Pecora, Virginia Commonwealth Univ. (United States)


Published in SPIE Proceedings Vol. 6176:
Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V
Aftab A. Mufti; Andrew L. Gyekenyesi; Peter J. Shull, Editor(s)

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