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arXiv · 1509.05996

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

Aleksey Fedorov·Maxim Anufriev·Andrey Zhirnov·Evgeniy Nesterov·Dmitry Namiot·Alexey Pnev·Valery Karasik
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Abstract

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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Aleksey Fedorov, Maxim Anufriev, Andrey Zhirnov, Evgeniy Nesterov, Dmitry Namiot, Alexey Pnev, Valery Karasik. 2015-09-22. Towards events recognition in a distributed fiber-optic sensor system: Kolmogorov-Zurbenko filtering. https://arxiv.org/abs/1509.05996

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