Paper
31 May 1999 Multiplexed fiber optic strain sensor system
Mohammed R. Sayeh, Lalit Gupta, D. Kagaris, R. Viswanathan, B. Chung
Author Affiliations +
Abstract
This paper presents a multimode fiber optic sensor system suitable for large smart structures. By many observations of speckle patterns from different multimode fibers, it seems that each speckle pattern has its own signature and uniquely defining its fiber. This prompted us to superimpose (multiplexed) the speckle patterns generated by two different fibers, and detect the resultant pattern. A two-stage feature extraction algorithm is then applied on the image, which reduces the dimension of the pattern vector. Next, a backpropagation neural network with single hidden layer is trained in mapping the feature vectors to the stress applied on each fibers. Series of experiments are conducted on two fiber sensors glued on a square shape plate under different point loads. The sensors successfully estimated that which fiber was under stress with light or heavy weight.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammed R. Sayeh, Lalit Gupta, D. Kagaris, R. Viswanathan, and B. Chung "Multiplexed fiber optic strain sensor system", Proc. SPIE 3670, Smart Structures and Materials 1999: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, (31 May 1999); https://doi.org/10.1117/12.349751
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KEYWORDS
Sensors

Speckle pattern

Neural networks

Fiber optics sensors

Multimode fibers

Multiplexing

Speckle

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