A comparison of time series analysis algorithms for detection of barely visible impact damage in UAV wings

Mary Ann F. Harrison; Steven Knudsen; Mark Seaver; Jonathan Nichols; Steve Trickey; Louis Pecora; Daniel Pecora

doi:10.1117/12.657884

20 March 2006 A comparison of time series analysis algorithms for detection of barely visible impact damage in UAV wings

Mary Ann F. Harrison, Steven Knudsen, Mark Seaver, Jonathan Nichols, Steve Trickey, Louis Pecora, Daniel Pecora

Author Affiliations +

Proceedings Volume 6176, Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V; 61760B (2006) https://doi.org/10.1117/12.657884
Event: Nondestructive Evaluation for Health Monitoring and Diagnostics, 2006, San Diego, CA, United States

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.

Citation Download Citation

Mary Ann F. Harrison, Steven Knudsen, Mark Seaver, Jonathan Nichols, Steve Trickey, Louis Pecora, and Daniel Pecora "A comparison of time series analysis algorithms for detection of barely visible impact damage in UAV wings", Proc. SPIE 6176, Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V, 61760B (20 March 2006); https://doi.org/10.1117/12.657884

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