Paper
11 April 2006 Health monitoring method for plate structures using continuous sensors and neural network analysis
Jong Won Lee, Goutham R. Kirikera, Inpil Kang, Mark J. Schulz, Vesselin N. Shanov
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jong Won Lee, Goutham R. Kirikera, Inpil Kang, Mark J. Schulz, and Vesselin N. Shanov "Health monitoring method for plate structures using continuous sensors and neural network analysis", Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 61741R (11 April 2006); https://doi.org/10.1117/12.658099
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Wave propagation

Neural networks

Computer simulations

Damage detection

Structural health monitoring

Wave plates

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