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Proceedings Paper

Structural health monitoring using FFT
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Paper Abstract

This work is part of an effort to develop smart composite materials that monitor their own health using embedded micro-sensors and local network communication nodes. Here we address the issue of data management through the development of localized processing algorithms. We demonstrate that the two-dimensional Fast Fourier Transform (FFT) is a useful algorithm due to its hierarchical structure and ability to determine the relative magnitudes of different spatial wavelengths in a material. We investigate different algorithms for implementing the distributed FFT and compare them in terms of computational requirements within a low-power, low-bandwidth network of microprocessors.

Paper Details

Date Published: 17 May 2005
PDF: 5 pages
Proc. SPIE 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (17 May 2005); doi: 10.1117/12.598827
Show Author Affiliations
Kevin Loewke, Univ. of California/San Diego (United States)
David Meyer, Univ. of California/San Diego (United States)
Anthony Starr, Univ. of California/San Diego (United States)
Sia Nemat-Nasser, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 5765:
Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
Masayoshi Tomizuka, Editor(s)

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