Fiber Optic Train Monitoring with Distributed Acoustic Sensing: Conventional and Neural Network Data Analysis

Distributed acoustic sensing (DAS) over tens of kilometers of fiber optic cables is well-suited for monitoring extended railway infrastructures. As DAS produces large, noisy datasets, it is important to optimize algorithms for precise tracking of train position, speed, and the number of train cars....

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Bibliographic Details
Main Authors: Stefan Kowarik, Maria-Teresa Hussels, Sebastian Chruscicki, Sven Münzenberger, Andy Lämmerhirt, Patrick Pohl, Max Schubert
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/2/450