Excursion on the Reflectogram
DOI:
https://doi.org/10.7242/2658-705X/2024.3.3Keywords:
reflectometry, distributed measurements, fiber-optic sensors, photonicsAbstract
In this paper, the basic principles of distributed measurements for the needs of metrology and sensorics, carried out with the help of methods of optical time domain reflectometry and optical frequency domain reflectometry, are presented in popular science form. The article introduces the reader to the work of the Photonics laboratory of the Institute of Continuous Media Mechanics, a
branch of the Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences (ICMM UB RAS).
References
Любимов М. Практические аспекты применения волоконно-оптических линий связи в системах телевизионного наблюдения [Электронный ресурс]. – URL: http://www.tzmagazine.ru/jpage_print.php?uid3=1150 (дата обращения 29.07.2024).
Сайт компании «Nocip» [Электронный ресурс]. – URL: https://nocip.ru/fizika/polnoe-vnutrenneeotrazhenie/ (дата обращения 29.07.2024).
Konstantinov Yu.A., Barkov F.L., Ponomarev, R.S. Metrological Applications of Optical Reflectometry: A Review // International Journal of Electrical and Electronic Engineering & Telecommunications. – 2022. –Vol. 11. – № 4. – P. 249–261. https://doi.org/10.18178/ijeetc.11.4.249-261
Gorshkov B.G., Yüksel K., Fotiadi A.A., Wuilpart M., Korobko D.A., Zhirnov A.A., Stepanov K.V., Turov A.T., Konstantinov Yu.A., Lobach I.A. Scientific Applications of Distributed Acoustic Sensing: State-of-the-Art Review and Perspective // Sensors. – 2022. – Vol. 22. – № 1033. https://doi.org/10.3390/s22031033
Alekseev A.E., Gorshkov B.G., Potapov V.T. [et al.] A Fiber Phase-Sensitive Optical Time-Domain Reflectometer for Engineering Geology Application // Instruments and Experimental Techniques. – 2023.– Vol. 66. – P. 843–848 https://doi.org/10.1134/S0020441223050020.
Stepanov K.V., Zhirnov A.A., Sazonkin S.G., Pnev A.B., Bobrov A.N., Yagodnikov D.A. Non-Invasive Acoustic Monitoring of Gas Turbine Units by Fiber Optic Sensors // Sensors. – 2022. – Vol 22. – № 4781. https://doi.org/10.3390/s22134781.
Gritsenko T.V., Orlova M.V., Zhirnov A.A., Konstantinov Yu.A., Turov A.T., Barkov F.L., Khan R.I., Koshelev K.I., Svelto C., Pnev A.B. Detection and Recognition of Voice Commands by a Distributed Acoustic Sensor Based on Phase-Sensitive OTDR in the Smart Home Concept // Sensors. – 2024. – /Vol. 24. – № 2281. https://doi.org/10.3390/s24072281.
Orlova M.V., Gritsenko T.V., Zhirnov A.A. [et al.] Investigation of the Optimal Parameters of the Distributed Fiber Microphone Circuit Based on φ-OTDR for Speech Recognition // Instruments and Experimental Techniques. – 2023. – Vol. 66. – P. 832–836. https://doi.org/10.1134/S0020441223050202.
Ashry I., Wang B., Mao Y., Sait M., Guo Y., Al-Fehaid Y., Al-Shawaf A., Ng T., Ooi B.S. CNN–Aided Optical Fiber Distributed Acoustic Sensing for Early Detection of Red Palm Weevil: A Field Experiment // Sensors. – 2022. – Vol 22. – № 6491. https://doi.org/10.3390/s22176491.
Ashry I., Mao Y., Wang B., Sait M., Guo Y., Al-Shawaf A., Ng T.N., Ooi B.S. CNN-based detection of red palm weevil using optical-fiber-distributed acoustic sensing // Proc. SPIE 12008, Photonic Instrumentation Engineering IX, 120080U (5 March 2022). https://doi.org/10.1117/12.2609308.
Eickhoff W., Ulrich R. Optical frequency domain reflectometry in single‐mode fiber // Applied Physics Letters. – 1981. – Vol. 39. – № 9. – P. 693–695. https://doi.org/10.1063/1.92872.
Fu C., Xiao S., Meng Y., Shan R., Liang W., Zhong H., Liao C., Yin X., Wang Y. OFDR shape sensor based on a femtosecond-laser-inscribed weak fiber Bragg grating array in a multicore fiber // Optics Letters. – 2024. – Vol. 49. – P. 1273–1276. https://doi.org/10.1364/OL.516067.
Turov A.T., Barkov F.L., Konstantinov Yu.A., Korobko D.A., Lopez-Mercado C.A., Fotiadi A.A. Activation Function Dynamic Averaging as a Technique for Nonlinear 2D Data Denoising in Distributed Acoustic Sensors // Algorithms. – 2023. – Vol. 16. – № 440. https://doi.org/10.3390/a16090440.
Turov A.T., Konstantinov Yu.A., Barkov F.L., Korobko D.A., Zolotovskii I.O., Lopez-Mercado C.A., Fotiadi A.A. Enhancing the Distributed Acoustic Sensors’ (DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application // Algorithms. – 2023. – Vol. 16. – № 217. https://doi.org/10.3390/a16050217.
Nordin N.D., Abdullah F., Zan M.S.D., A Bakar A.A., Krivosheev A.I., Barkov F.L., Konstantinov Yu.A. Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring // Sensors. – 2022. – Vol. 22. – № 2677. https://doi.org/10.3390/s22072677.
Belokrylov M.E., Kambur D.A., Konstantinov Yu.A., Claude D., Barkov F.L. An Optical Frequency Domain Reflectometer’s (OFDR) Performance Improvement via Empirical Mode Decomposition (EMD) and Frequency Filtration for Smart Sensing // Sensors. – 2024. – Vol. 24. – № 1253. https://doi.org/10.3390/s24041253.
Belokrylov M.E., Claude D., Konstantinov Yu.A. [et al.] Method for Increasing the Signal-to-Noise Ratio of Rayleigh Back-Scattered Radiation Registered by a Frequency Domain Optical Reflectometer Using Two-Stage Erbium Amplification // Instruments and Experimental Techniques. – 2023. –Vol. 66. – P. 761–768 (2023). https://doi.org/10.1134/S0020441223050172.
Сайт серии конференций «ORMS» [Электронный ресурс]. – URL: https://orms-conf.permsc.ru/ (дата обращения 29.07.2024).
