Fast and accurate Brillouin frequency shift extraction in Brillouin optical time domain reflectometry (BOTDR) distributed fiber sensor by using ensemble machine learning algorithm Article Swipe
Ahmed Sabri Kadhim Almoosa
,
Mohd Saiful Dzulkefly Zan
,
Mohd Faisal Ibrahim
,
Yosuke Tanaka
,
Abdulwahhab Essa Hamzah
,
Norhana Arsad
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2411/1/012012
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2411/1/012012
To improve the Brillouin frequency shift (BFS) resolution measurement and processing time of the differential cross-spectrum Brillouin optical time domain reflectometry (DCS-BOTDR) fiber sensor, our team suggests employing the ensemble machine learning (EML) technique. Because it gave the best BFS resolution compared to the other T L cases, we used the BFS distribution data recorded by the pulse duration T L =14 ns case as ground truth to train the EML model in this work. After that, we tested the EML model for T L =4, 60, and 90 ns cases. We improved the BFS resolution for all T L situations by approximately 2.85 MHz, comparable to our resolution when T L was equal to 14 ns. This result demonstrates that the EML algorithm is reliable, efficient, and highly accurate in its predictive capabilities. Additionally, we have documented a rapid processing time of approximately one second. In addition, we have successfully demonstrated 20 cm spatial resolution measurement for T L =60 and 90 ns, which was not previously possible with the usual DCS-BOTDR signal processing method.
Related Topics
Concepts
Brillouin zone
Reflectometry
Time domain
Brillouin scattering
Optical time-domain reflectometer
Algorithm
Distributed acoustic sensing
Optical fiber
Image resolution
Optics
Computer science
Fiber optic sensor
Materials science
Physics
Computer vision
Graded-index fiber
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2411/1/012012
- OA Status
- diamond
- Cited By
- 2
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312105827
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312105827Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2411/1/012012Digital Object Identifier
- Title
-
Fast and accurate Brillouin frequency shift extraction in Brillouin optical time domain reflectometry (BOTDR) distributed fiber sensor by using ensemble machine learning algorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-01Full publication date if available
- Authors
-
Ahmed Sabri Kadhim Almoosa, Mohd Saiful Dzulkefly Zan, Mohd Faisal Ibrahim, Yosuke Tanaka, Abdulwahhab Essa Hamzah, Norhana ArsadList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2411/1/012012Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1742-6596/2411/1/012012Direct OA link when available
- Concepts
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Brillouin zone, Reflectometry, Time domain, Brillouin scattering, Optical time-domain reflectometer, Algorithm, Distributed acoustic sensing, Optical fiber, Image resolution, Optics, Computer science, Fiber optic sensor, Materials science, Physics, Computer vision, Graded-index fiberTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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