Articles | Volume 6, issue 2
J. Sens. Sens. Syst., 6, 389–394, 2017
https://doi.org/10.5194/jsss-6-389-2017

Special issue: Sensor/IRS2 2017

J. Sens. Sens. Syst., 6, 389–394, 2017
https://doi.org/10.5194/jsss-6-389-2017
Regular research article
19 Dec 2017
Regular research article | 19 Dec 2017

Inverse calculation of strain profiles from ETDR measurements using artificial neural networks

Robin Höhne et al.

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Latest update: 28 Sep 2022
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Short summary
This paper focuses on a novel carbon fibre sensor technology that exploits the low-cost and low-energy electrical reflectometry method for a spatially resolved strain measurement. The application of artificial neural networks for mapping the measured electrical signal to the existing strain profile is demonstrated. The potential and current limits are highlighted. The sensor is a promising part for the next generation of light-weight structures with operando health monitoring systems.
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