Sensitivity Analysis of Water Tree and Input Pulse Parameters for Time-Domain Reflectometry of Power Cables Using Taguchi Method

被引:5
作者
Kim, Han-Ju [1 ]
Park, Ji-san [1 ]
Mun, Jaegyeong [2 ]
Kim, Dong-Hun [2 ]
Hwangbo, Seung [3 ]
Yi, Dong-Young [4 ]
Byun, Jin-Kyu [1 ]
机构
[1] Soongsil Univ, Dept Elect Engn, Seoul, South Korea
[2] Kyungpook Natl Univ, Dept Elect Engn, Daegu, South Korea
[3] Honam Univ, Dept Automot Engn, Gwangju, South Korea
[4] Uiduk Univ, Div Energy & Elect Engn, Kyungju, South Korea
关键词
Sensitivity analysis; Signal to noise ratio (SNR); Taguchi method; Time-domain reflectometry (TDR); Water tree; SIMULATION;
D O I
10.1007/s42835-020-00591-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:633 / 642
页数:10
相关论文
共 11 条
  • [1] [Anonymous], 2017, TECHNICAL STANDARDS
  • [2] Partial Discharge Characteristics in LLDPE-Natural Rubber Blends: Correlating Electrical Quantities with Surface Degradation
    Aulia
    Ahmad, Mohd Hafizi
    Abdul-Malek, Zulkurnain
    Arief, Yanuar Z.
    Lau, Kwan Yiew
    Novizon
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2016, 11 (03) : 699 - 706
  • [3] Water Tree Detection in Underground Cables Using Time Domain Reflectometry
    Burkes, Klaehn W.
    Makram, Elham B.
    Hadidi, Ramtin
    [J]. IEEE Power and Energy Technology Systems Journal, 2015, 2 : 53 - 62
  • [4] Choi J.H, 2013, J KSME, V53, P24
  • [5] Analysis of Pulse Propagation Characteristics for Detection of Water Trees in Power Cables
    Choi, Min-Soo
    Park, Ji-san
    Byun, Jin-Kyu
    Kim, Dong-Hun
    Hwangbo, Seung
    Yi, Dong-Young
    [J]. JOURNAL OF THE KOREAN MAGNETICS SOCIETY, 2018, 28 (02): : 66 - 74
  • [6] Jeff WCF, 2000, EXPT PLANNING ANAL P
  • [7] Partial Discharge Simulation and Analysis Based on Experiment in Underground Distribution Power Cables
    Jung, Chae-Kyun
    Kim, Jeong-Tae
    Lee, Jong-Beom
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2013, 8 (04) : 832 - 839
  • [8] End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks
    Khan, Mohammad Azam
    Choo, Jaegul
    Kim, Yong-Hwa
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2019, 14 (03) : 1299 - 1309
  • [9] Klaehn WB, 2016, P 2016 COMSOL C BOST
  • [10] Verification of a Computer Simulation based on the Pulse Propagation Characteristics for Detection of Water Trees in Power Cables
    Lim, Jongsu
    Mun, Jaegyeong
    Kang, Byungsu
    Kim, Dong-Hun
    Byun, Jin-Kyu
    Hwangbo, Seung
    Yi, Dong-Young
    [J]. JOURNAL OF THE KOREAN MAGNETICS SOCIETY, 2019, 29 (03): : 91 - 97