Application of the polarization reflectometry for estimating the distribution of mechanical stress in optical fiber

Alekhin, Ivan N.; Dashkov, Michael V.; Nikulina, Tatiana G.

doi:10.1117/12.2527515

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Distributed fiber optic sensors are one of the most dynamically developing scientific and technical areas today [1][2][3][4]. Practice shows that they can be used to obtain information regarding the distribution of factors of almost any origin affecting the optical sensor.…”

Section: Introductionmentioning

confidence: 99%

Activation Function Dynamic Averaging as a Technique for Nonlinear 2D Data Denoising in Distributed Acoustic Sensors

Turov,

Barkov,

Konstantinov

et al. 2023

Algorithms

View full text Add to dashboard Cite

This work studies the application of low-cost noise reduction algorithms for the data processing of distributed acoustic sensors (DAS). It presents an improvement of the previously described methodology using the activation function of neurons, which enhances the speed of data processing and the quality of event identification, as well as reducing spatial distortions. The possibility of using a cheaper radiation source in DAS setups is demonstrated. Optimal algorithms’ combinations are proposed for different types of the events recorded. The criterion for evaluating the effectiveness of algorithm performance was an increase in the signal-to-noise ratio (SNR). The finest effect achieved with a combination of algorithms provided an increase in SNR of 10.8 dB. The obtained results can significantly expand the application scope of DAS.

show abstract

Section: Introductionmentioning

confidence: 99%