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Conferences > OFS > 2022 > Th4 > Th4.19

Strain measurement based on Brillouin gain spectrum under non-uniform strain using neural network

Hiroshi Naruse, Takaya Kurokawa, and Shusuke Narieda

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Abstract

This study proposes a strain measurement method based on the Brillouin gain spectrum under nonuniform strain using a neural network. The basic measurement characteristics are investigated via simulations. Additionally, high-accuracy and high-speed measurements are verified.

© 2022 The Author(s)

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