Using effective signal filtering methods to data processing from a fiber-optic temperature sensor
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. Reduci...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2021-06-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%203%20(177)%20(%D0%9E%D0%9D%D0%92)/89-94%20%D0%95%D1%80%D1%88%D0%BE%D0%B2%20%D0%98.%20%D0%90..pdf |
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| Summary: | 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. |
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| ISSN: | 1813-8225 2541-7541 |