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


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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