Structural health monitoring using FFT

Kevin Loewke; David Meyer; Anthony Starr; Sia Nemat-Nasser

doi:10.1117/12.598827

17 May 2005 Structural health monitoring using FFT

Kevin Loewke, David Meyer, Anthony Starr, Sia Nemat-Nasser

Proceedings Volume 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems; (2005) https://doi.org/10.1117/12.598827
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2005, San Diego, California, United States

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.

Citation Download Citation

Kevin Loewke, David Meyer, Anthony Starr, and Sia Nemat-Nasser "Structural health monitoring using FFT", Proc. SPIE 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (17 May 2005); https://doi.org/10.1117/12.598827

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