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An extrinsic Fabry–Pérot interference fiber sensor for ultrasonic detection of partial discharge

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An ultrasonic sensor based on extrinsic Fabry–Pérot interference (EFPI) has been designed and demonstrated to detect the ultrasonic wave signal. The sensitivity and natural frequency of fiber Fabry–Pérot (F-P) sensor with different structure parameter have been simulated by COMSOL. The simulation results illustrate that the sensitivity is up to 1.737 nm/kPa and the natural frequency is 2.1 MHz, when the silica diaphragm thickness is 2 μm, the radius is 90 μm, and the cavity length is 18 μm. The most suitable parameters have been selected and the F-P sensor has been fabricated. When the ultrasonic signals with the frequencies of 40 kHz and 1.2 MHz are respectively applied to the sensor, the frequencies detected by the EFPI ultrasonic sensor are 39 kHz and 1.21 MHz based on a partial discharge detection experiment for the designed demodulation system. The experimental results show that the sensor can accurately detect ultrasonic signals. As an excellent platform for ultrasonic signal sensing, this EFPI ultrasonic sensing system has great potential applications in partial discharge detection field.
Czasopismo
Rocznik
Strony
199--211
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • State Grid Smart Grid Research Institute Co., Ltd, Beijing 102211, China
autor
  • State Grid Smart Grid Research Institute Co., Ltd, Beijing 102211, China
autor
  • Electric Power Research Institute, SGCC, Fuzhou 350007, China
autor
  • State Grid Smart Grid Research Institute Co., Ltd, Beijing 102211, China
autor
  • Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai 200444, China
autor
  • Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai 200444, China
autor
  • Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai 200444, China
Bibliografia
  • [1] YU B., KIM D.W., DENG J., XIAO H., WANG A., Fiber Fabry-Perot sensors for detection of partial discharges in power transformers, Applied Optics 42(16), 2003: 3241-3250. https://doi.org/10.1364/AO.42.003241
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  • [7] YUM P.S., CAMPBELL F., ELTOM A.H., The diagnostic analysis of partial discharge with acoustic monitoring in GIS equipment, [In] IEEE Power Engineering Society Summer Meeting, Vol. 1, 2002: 196-200. https://doi.org/10.1109/PESS.2002.1043214
  • [8] XIE X., MU J., LIU R., MENG Q., WU S., LV P., SUN F., LIU B., ZHANG B., ZHU B., ZHANG F., Research on partial discharge detection methods for electrical equipment diagnosis, [In] Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology, Atlantis Press, 2016: 1408-1410. https://doi.org/10.2991/icmmct-16.2016.278
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  • [10] GAO W., DING D., LIU W., Research on the typical partial discharge using the UHF detection method for GIS, IEEE Transactions on Power Delivery 26(4), 2011: 2621-2629. https://doi.org/10.1109/TPWRD.2011.2166089
  • [11] SUN S., TIAN L., YU H., SHEN J., Study of the online monitoring for GIS partial discharge based on UHF method, [In] 2011 1st International Conference on Electric Power Equipment - Switching Technology, 2011: 266-270. https://doi.org/10.1109/ICEPE-ST.2011.6122985
  • [12] UWIRINGIYIMANA J.P., KHAYAM U., Measurement of partial discharge in air insulation by using UHF double layer bowtie antenna with modified wings edges, [In] 2019 International Conference on Electrical Engineering and Informatics (ICEEI), 2019: 228-233. https://doi.org/10.1109/ICEEI47359.2019.8988866
  • [13] LI X., LU Q., LI D., CHEN X., LV H., WANG Y., Transducers arrangement of the UHF-PD online monitoring system for GIS, High Voltage Apparatus 48(11), 2012: 70-74.
  • [14] LI Z., LUO L., SHENG G., LIU Y., JIANG X., UHF partial discharge localisation method in substation based on dimension-reduced RSSI fingerprint, IET Generation, Transmission & Distribution 12(2), 2018: 398-405. https://doi.org/10.1049/iet-gtd.2017.0601
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  • [19] MACIÀ-SANAHUJA C., LAMELA H., GARCÍA-SOUTO J.A., Fiber optic interferometric sensor for acoustic detection of partial discharges, Journal of Optical Technology 74(2), 2007: 122-126. https://doi.org/10.1364/JOT.74.000122
  • [20] BLACKBURN T.R., PHUNG B.T., JAMES R.E., Optical fibre sensor for partial discharge detection and location in high-voltage power transformer, [In] Sixth International Conference on Dielectric Materials, Measurements and Applications, 1992: 33-36.
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  • [23] MA G., ZHOU H., ZHANG M., LI C., CUI B., WU Y., Optical fiber acoustic emission sensor for GIS partial discharge detection, [In] Optical Sensors and Sensing Congress (ES, FTS, HISE, Sensors), OSA Technical Digest, Optica Publishing Group, 2019, paper STh3A.5. https://doi.org/10.1364/SENSORS.2019.STh3A.5
  • [24] LI H., LV J., LI D., XIONG C., ZHANG Y., YU Y., MEMS-on-fiber ultrasonic sensor with two resonant frequencies for partial discharges detection, Optics Express 28(12), 2020: 18431-18439. https://doi.org/10.1364/OE.391242
  • [25] YANG Y.J., LEE C.L., Airgap fiber Fabry-Pérot interferometer using a hollow core fiber coated with a layer of photopolymer for measurement of relative humidity and temperature, [In] 2016 5th International Symposium on Next-Generation Electronics (ISNE), 2016: 1-2. https://doi.org/10.1109/ISNE.2016.7543332
  • [26] WANG C., LIU X., PEIWEN K., WANG P., ZHANG L., CHEN D., ~1 μm laser output based on heterogeneous fiber with Yb3+-doped fluorophosphate core and phosphate cladding, Materials Letters 179, 2016: 9-11. https://doi.org/10.1016/j.matlet.2016.05.033
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  • [28] WU Y., YU C., WU F., C. LI, ZHOU J., GONG Y., RAO Y., CHEN Y., A highly sensitive fiber-optic microphone based on graphene oxide membrane, Journal of Lightwave Technology 35(19), 2017: 4344-4349. https://doi.org/10.1109/JLT.2017.2737639
  • [29] PI B., CAO X., NIE D., CHENG L., JIANG X., LIU Y., Optical fiber F-P partial discharge detection sensor optimization design, Transformer 55(5), 2018: 39-43. https://doi.org/10.19487/j.cnki.1001-8425.2018.05.007
  • [30] SHEN S., WEI H., WANG J., LIU H., MA Z., CHEN N., SHANG Y., PANG F., 3D printing optical fiber Fabry-Perot cavity acoustic emission sensor, Chinese Journal of Lasers 47(9), 2020: 906004. https://doi.org/10.3788/CJL202047.0906004
  • [31] HUANG X., AN J., LI J., WANG L., Optical fiber Fabry-Perot acoustic sensor for partial discharg detection, Optical Communication Technology, No. 02, 2022: 66-70. https://doi.org/10.13921/j.cnki.issn1002-5561.2022.02.013
  • [32] ZHAO H., LI M., WANG P., ZHANG Y., Non-intrinsic fiber Fabry-Perot sensor for local acoustic measurement in liquid media, Journal of Electrical Engineering, China, No. 22, 2008: 59-63.
  • [33] WANG W., WANG Z., WU Y., DU J., LI F., Fabry–Perot optical fiber ultrasonic sensing technology for partial discharge detection in oil, High Voltage Engineering, No. 03, 2014: 814-821. https://doi.org/10.13336/j.1003-6520.hve.2014.03.025
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-aea97ed7-6813-4ac3-ae11-7f2d2ddd45d9
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