Wavelet Decomposition Layer Selection for the φ-OTDR Signal
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/01/31
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Journal
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Indian UGC (journal)
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Refrences47
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Citations1
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Yunfei Chen School of Ocean Information Engineering, Jimei University, Xiamen 361021, China ORCID (unauthenticated)
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Kaimin Yu School of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China
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Minfeng Wu School of Electrical Engineering and Artificial Intelligence, Xiamen University Malaysia, Sepang 43900, Malaysia
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Lei Feng School of Ocean Information Engineering, Jimei University, Xiamen 361021, China
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Yuanfang Zhang School of Ocean Information Engineering, Jimei University, Xiamen 361021, China
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Peibin Zhu School of Ocean Information Engineering, Jimei University, Xiamen 361021, China
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Wen Chen School of Ocean Information Engineering, Jimei University, Xiamen 361021, China ORCID (unauthenticated)
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Jianzhong Hao Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A⋆STAR), Singapore 138632, Singapore ORCID (unauthenticated)
Abstract
Cite
Chen, Yunfei, et al. “Wavelet Decomposition Layer Selection for the φ-OTDR Signal”. Photonics, vol. 11, no. 2, 2024, p. 137, https://doi.org/10.3390/photonics11020137.
Chen, Y., Yu, K., Wu, M., Feng, L., Zhang, Y., Zhu, P., Chen, W., & Hao, J. (2024). Wavelet Decomposition Layer Selection for the φ-OTDR Signal. Photonics, 11(2), 137. https://doi.org/10.3390/photonics11020137
Chen, Yunfei, Kaimin Yu, Minfeng Wu, Lei Feng, Yuanfang Zhang, Peibin Zhu, Wen Chen, and Jianzhong Hao. “Wavelet Decomposition Layer Selection for the φ-OTDR Signal”. Photonics 11, no. 2 (2024): 137. https://doi.org/10.3390/photonics11020137.
Chen Y, Yu K, Wu M, Feng L, Zhang Y, Zhu P, et al. Wavelet Decomposition Layer Selection for the φ-OTDR Signal. Photonics. 2024;11(2):137.
Journal Categories
Science
Physics
Science
Physics
Acoustics
Sound
Science
Physics
Optics
Light
Technology
Chemical technology
Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
Technology
Engineering (General)
Civil engineering (General)
Applied optics
Photonics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Objective assessment of IPM denoising quality of φ-OTDR signal | Measurement |
| 5 | 2023 |
| A comprehensive bibliometric analysis of signal processing and pattern recognition based on distributed optical fiber | Measurement |
| 5 | 2023 |
| A dual-stage-recognition network for distributed optical fiber sensing perimeter security system | Journal of Lightwave Technology |
| 2023 | |
| Security threshold setting algorithm of distributed optical fiber monitoring and sensing system based on big data in smart city | Soft Computing |
| 3 | 2023 |
| The improved wavelet denoising scheme based on robust principal component analysis for distributed fiber acoustic sensor | IEEE Sensors Journal |
| 2023 |
Refrences Analysis
The category
Science: Physics: Optics. Light 26
is the most frequently represented among the references in this article. It primarily includes studies from Journal of Lightwave Technology and Optics Express. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Advancements in Battery Monitoring: Harnessing Fiber Grating Sensors for Enhanced Performance and Reliability | Sensors |
| 2024 |
Citations Analysis
The category
Technology: Chemical technology 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Advancements in Battery Monitoring: Harnessing Fiber Grating Sensors for Enhanced Performance and Reliability and was published in 2024. The most recent citation comes from a 2024 study titled Advancements in Battery Monitoring: Harnessing Fiber Grating Sensors for Enhanced Performance and Reliability. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Sensors cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.