Open AccessResearch of Data Processing Algorithms from Fiber Optic Sensors
Author(s) -
Leonid Delov,
V.F. Vikulov,
Mikhail Gavrikov,
Nikolay L. Lvov,
Stanislav Khabarov
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a1095.1191s19
Subject(s) - fiber bragg grating , optical fiber , signal (programming language) , signal processing , bending , strain (injury) , fiber optic sensor , algorithm , deformation (meteorology) , fiber , strain gauge , data processing , computer science , optics , materials science , electronic engineering , engineering , physics , structural engineering , digital signal processing , composite material , medicine , programming language , operating system
The article considers the phenomenon of splitting the spectrum of the reflected signal from fiber-optic sensors (FOS) based on fiber Bragg gratings (FBG), due to which errors in calculating the strain values in diagnostic systems of the stress-strain state occur. The physical principles of splitting and their influence on the diagnostic system as a whole are considered. Various algorithms are proposed to solve the splitting problem, followed by their comparison. The optimal algorithm for processing the digitized optical spectra of signals from FOS was estimated using a mathematical model using real strain indicators from a bench experiment. FOS deformation data were obtained during an experiment on a bench for bending metal levers and were compared with strain gauges.