Neural networks for smart structures with fiber optic sensors

Mohammed R. Sayeh; R. Viswanathan; Shirshak K. Dhali

doi:10.1117/12.25839

1 March 1991 Neural networks for smart structures with fiber optic sensors

Mohammed R. Sayeh, R. Viswanathan, Shirshak K. Dhali

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25839
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

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.

Citation Download Citation

Mohammed R. Sayeh, R. Viswanathan, and Shirshak K. Dhali "Neural networks for smart structures with fiber optic sensors", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25839

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