Abstract
In this paper, quantitative sensitivity analyses of various parameters of water tree and input pulse are performed using Taguchi-based design of experiment method in order to verify the feasibility of time-domain reflectometry (TDR) method for the water tree detection in the power cable. Signal to noise ratio (SNR) and percent contribution (PC) of water tree and diagnostic pulse parameters are calculated, and the parameters are identified that have high influence on the reflected pulse. The simulation software (COMSOL Multiphysics) used for the analysis is verified by comparison with the experimental results of the cable with an artificial defect. Based on the sensitivity analysis, optimal diagnostic pulse parameters are proposed for the efficient detection of the water trees.
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References
Jung C-K, Kim J-T, Lee J-B (2013) Partial discharge simulation and analysis based on experiment in underground distribution power cables. J Electr Eng Technol 8(4):832–839
Aulia MH, Ahmad ZA-M, Arief YZ, Yiew K, Novizon L (2016) Partial discharge characteristics in LLDPE-natural rubber blends: correlating electrical quantities with surface degradation. J Electr Eng Technol 11(3):699–706
Mohammad AK, Jaegul C, Yong-Hwa K, Joo-Ho C (2019) End-to-end partial discharge detection in power cables via time-domain convolutional neural networks. J Electr Eng Technol 14(3):1299–1309
Choi J-H (2013) An introduction to the fault detection and management technology. J KSME 53(7):24–34
Burkes KW, Makram EB, Hadidi R (2015) Water tree detection in underground cables using time domain reflectometry. IEEE Power Energy Technol Syst J 2(2):53–62
Klaehn WB (2016) Time domain reflectometry of a water tree inside an underground cable. In: Proceedings of the 2016 COMSOL conference, Boston
Choi M-S, Park J-s, Byun J-K, Kim D-H, Hwangbo S, Yi D-Y (2018) Analysis of pulse propagation characteristics for detection of water trees in power cables. J Korean Magn Soc 28(2):66–74
Lim J, Mun J, Kang B, Kim D-H, Byun J-K, Hwangbo S, Yi D-Y (2019) Verification of a computer simulation based on the pulse propagation characteristics for detection of water trees in power cables. J Korean Magn Soc 29(3):91–97
COMSOL Inc. (www.comsol.com)
Technical Standards of KEPCO, ES-6145-0025, (2017)
Jeff WCF, Michael H (2000) Experiments: planning, analysis, and parameter design optimization, 1st edn. Wiley, New York
Nalbant M, Gökkaya H, Sur G (2007) Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Mater Des 28(4):1379–1385
Acknowledgments
This research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-39).
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Kim, HJ., Park, Js., Mun, J. et al. Sensitivity Analysis of Water Tree and Input Pulse Parameters for Time-Domain Reflectometry of Power Cables Using Taguchi Method. J. Electr. Eng. Technol. 16, 633–642 (2021). https://doi.org/10.1007/s42835-020-00591-7
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DOI: https://doi.org/10.1007/s42835-020-00591-7