Research of Data Processing Algorithms from Fiber Optic Sensors
Leonid A. Delov1, Viktor M. Vikulov2, Mikhail Yu. Gavrikov3, Nikolay L. Lvov4, Stanislav S. Khabarov5
1Leonid A. Delov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.
2Viktor M. Vikulov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.
3Mikhail Yu. Gavrikov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.
4Nikolay L. Lvov, Ph.D., Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.
5Stanislav S. Khabarov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.
Manuscript received on 28 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 456-461 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10951191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1095.1191S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: FBG, Fiber-optic Monitoring System, Diagnostics, Spectrum Splitting, Processing Algorithm.
Scope of the Article: Web Algorithms