Open AccessUsing effective signal filtering methods to data processing from a fiber-optic temperature sensor
Author(s) -
Ivan A. Ershov
Publication year - 2021
Publication title -
omskij naučnyj vestnik
Language(s) - English
Resource type - Journals
eISSN - 2541-7541
pISSN - 1813-8225
DOI - 10.25206/1813-8225-2021-177-89-94
Subject(s) - signal (programming language) , signal processing , computer science , wavelet transform , wavelet , optical fiber , fiber optic sensor , noise (video) , electronic engineering , acoustics , artificial intelligence , digital signal processing , telecommunications , engineering , computer hardware , physics , image (mathematics) , programming language
The article deals with signal processing of a fiber-optic temperature sensor using extremal filtering and filtering with Wavelet transforms. The aim of this work is to find a way to reduce the response time in a fiber-optic temperature sensor by using effective signal processing methods. Reducing the response time of systems for monitoring hazardous production facilities is rarely discussed in the literature. The results showed that the use of extreme filtering and filtering with Wavelet transforms can significantly reduce the number of implementations necessary to identify a signal with a low signal-to-noise ratio