Towards events recognition in a distributed fiber-optic sensor system: Kolmogorov-Zurbenko filtering

Int. J. Open Inform. Techn. 3, 16 (2015) The paper is about de-noising procedures aimed on events recognition in signals from a distributed fiber-optic vibration sensor system based on the phase-sensitive optical time-domain reflectometry. We report experimental results on recognition of several cla...

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Hauptverfasser: Fedorov, Aleksey, Anufriev, Maxim, Zhirnov, Andrey, Nesterov, Evgeniy, Namiot, Dmitry, Pnev, Alexey, Karasik, Valery
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Anufriev, Maxim
Zhirnov, Andrey
Nesterov, Evgeniy
Namiot, Dmitry
Pnev, Alexey
Karasik, Valery
description Int. J. Open Inform. Techn. 3, 16 (2015) The paper is about de-noising procedures aimed on events recognition in signals from a distributed fiber-optic vibration sensor system based on the phase-sensitive optical time-domain reflectometry. We report experimental results on recognition of several classes of events in a seismic background. A de-noising procedure uses the framework of the time-series analysis and Kolmogorov-Zurbenko filtering. We demonstrate that this approach allows revealing signatures of several classes of events.
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Physics - Instrumentation and Detectors
Physics - Optics
title Towards events recognition in a distributed fiber-optic sensor system: Kolmogorov-Zurbenko filtering
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