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Conferences > OFS > 2020 > T3 > T3.76

Machine Learning Based Analysis of Optical Fiber Sensing Intensity Data for Train Tracking Application

Abdelkader Hamadi, Emma Montarsolo, Ali Kabalan, Gabriel Papaiz Garbini, and Tarik Hammi

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Abstract

This paper introduces an implementation of a system allowing to denoise the intensity data sensed by a DAS system before analyzing it through a convolutional neural network for train tracking. The results obtained showed that it is possible to track a train by focusing only on the magnitude of signals without caring out complex treatments.

© 2020 The Author(s)

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