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Proceedings Paper

Neural networks for smart structures with fiber optic sensors
Author(s): Mohammed R. Sayeh; R. Viswanathan; Shirshak K. Dhali
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Paper Abstract

This paper discusses an application of artificial neural networks in smart structures with fiber optic sensors. Emphasis is on using a novel neural network approach to characterize the Impact signals from the embedded sensors. A recurrent network is proposed for control of stress in the composite material. Preliminary results on a composite with embedded multimode fiber indicates that the speckle pattern of the optical fiber can be characterized for stress measurements. This new sensing technique will simplify the measurement components as compared to the conventional methods. 2.

Paper Details

Date Published: 1 March 1991
PDF: 13 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.25839
Show Author Affiliations
Mohammed R. Sayeh, Southern Illinois Univ./Carbondale (United States)
R. Viswanathan, Southern Illinois Univ./Carbondale (United States)
Shirshak K. Dhali, Southern Illinois Univ./Carbondale (United States)

Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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