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Proceedings Paper

Health monitoring method for plate structures using continuous sensors and neural network analysis
Author(s): Jong Won Lee; Goutham R. Kirikera; Inpil Kang; Mark J. Schulz; Vesselin N. Shanov
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Paper Abstract

A method for impact and damage detection on a plate using strain responses from long continuous sensors and analysis by a neural network technique was presented and verified by numerical simulation. The response characteristics of continuous sensors, which are long ribbon-like sensors, were studied by simulation of wave propagation in a panel. The advantage of the continuous sensor is to improve damage detection by having a large coverage of sensors on the structure using a small number of channels of data acquisition. Strain responses from the continuous sensors were used to estimate the damage location using the neural network technique. Several numerical wave propagation simulation runs for a plate were carried out to train the neural network and verify the proposed method for damage localization. The identified damage locations agreed reasonably well with the exact damage locations. Overall, the approach presented is meant to simplify the instrumentation needed for damage detection by using continuous sensors, a small number of channels of data acquisition, and training a neural network to do the work of locating the damage source.

Paper Details

Date Published: 11 April 2006
PDF: 9 pages
Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 61741R (11 April 2006); doi: 10.1117/12.658099
Show Author Affiliations
Jong Won Lee, Korea Institute of Machinery and Materials (South Korea)
Goutham R. Kirikera, Univ. of Cincinnati (United States)
Inpil Kang, Konkuk University (South Korea)
Mark J. Schulz, Univ. of Cincinnati (United States)
Vesselin N. Shanov, Univ. of Cincinnati (United States)


Published in SPIE Proceedings Vol. 6174:
Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
Masayoshi Tomizuka; Chung-Bang Yun; Victor Giurgiutiu, Editor(s)

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