CHAOS TIME-DOMAIN REFLECTOMETRY FOR FAULT LOCATION ON LIVE WIRES

被引:0
|
作者
Xu, Hang [1 ,2 ]
Li, Jingxia [1 ,2 ]
Liu, Li [1 ,2 ]
Wang, Bingjie [1 ,2 ]
Zhang, Jianguo [1 ,2 ]
Wang, Yuncai [1 ,2 ]
机构
[1] Taiyuan Univ Technol, Key Lab Adv Transducers & Intelligent Control Sys, Minist Educ, Taiyuan 030024, Peoples R China
[2] Taiyuan Univ Technol, Coll Phys & Optoelect, Inst Optoelect Engn, Taiyuan 030024, Peoples R China
来源
JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2015年 / 5卷 / 02期
基金
中国国家自然科学基金;
关键词
Chaotic signal; high density bipolar of order 3; fault location; live wire; WIRING FAULTS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We propose a chaos time-domain reflectometry (CTDR) for locating faults on live wires. This method uses a chaotic output of an improved Colpitts oscillator as probe signal, and detects wire faults by correlating a duplicate with the echo of the probe signal. Benefiting from the anti-jamming of the correlation function of the wideband chaos, fault location on live wires can be achieved. We experimentally demonstrate the detection for live wires in a digital communication system, in which a type of digital signal named high density bipolar of order 3 (HDB3) is transmitted. The effects of the chaotic probe signal on the bit error rate (BER) of the transmitted HDB3 at different rates are analyzed. Meanwhile, the influences of the backward HDB3 reflected by wiring faults on the signal-noise-ratio (SNR) of CTDR measurement are examined experimentally. The results show that fault detection on live wires is achieved when the power of the chaotic probe signal is about from -24.8 dB to -13.5 dB lower than that of the transmitted digital signal. In this case, the BER is kept less than 3E-10, and the SNR of CTDR is higher than 3 dB. Besides, the auto-correlation properties of the improved Colpitts oscillator at different states are investigated experimentally to explore the suitable chaotic states for the CTDR.
引用
收藏
页码:243 / 250
页数:8
相关论文
共 50 条
  • [21] Chaos Time Domain Reflectometry for Online Defect Detection in Noisy Wired Networks
    Auzanneau, Fabrice
    Ravot, Nicolas
    Incarbone, Luca
    IEEE SENSORS JOURNAL, 2016, 16 (22) : 8027 - 8034
  • [22] Fault Location in Power Distribution Based on Travelling Wave Time-Domain and Frequency-Domain Analysis to Identify the Wave Front
    Liang, Rui
    Sottile, Joseph
    Jin, Zheng
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2012, 7 (05): : 5686 - 5693
  • [23] Experimental Verification of Good Spatial Resolution of Fault Location in a Cable by Frequency Domain Reflectometry
    Ohki, Yoshimichi
    Hirai, Naoshi
    2020 8TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (CMD 2020), 2020, : 126 - 129
  • [24] Multiple Soft Defect Signature Magnification in Electrical Cables With Binary Time-Domain Reflectometry
    Auzanneau, Fabrice
    IEEE SENSORS LETTERS, 2020, 4 (07)
  • [25] Reducing the Effects of Rain and Moisture on Spread Spectrum Time-Domain Reflectometry Monitoring of Photovoltaics
    Gazda, Nikodem
    Paulsen, Brian
    Edun, Ayobami S.
    Furse, Cynthia M.
    Harley, Joel B.
    IEEE SENSORS JOURNAL, 2024, 24 (16) : 26181 - 26189
  • [26] Time-domain single-ended fault location method that does not need remote-end system information
    Zhang, Chenhao
    Song, Guobing
    Yang, Liming
    Sun, Zhongyu
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (02) : 284 - 293
  • [27] Time-Domain Fault Location Algorithm for Double-Circuit Transmission Lines Connected to Large Scale Wind Farms
    Saber, A.
    Zeineldin, H. H.
    El-Fouly, Tarek H. M.
    Al-Durra, Ahmed
    IEEE ACCESS, 2021, 9 : 11393 - 11404
  • [28] Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry
    Saleh, Mashad Uddin
    Deline, Chris
    Kingston, Samuel
    Jayakumar, Naveen Kumar Tumkur
    Benoit, Evan
    Harley, Joel B.
    Furse, Cynthia
    Scarpulla, Mike
    IEEE JOURNAL OF PHOTOVOLTAICS, 2020, 10 (01): : 236 - 242
  • [29] Soft fault detection in cables using the cluster time-frequency domain reflectometry
    1600, Institute of Electrical and Electronics Engineers Inc., United States (02): : 54 - 69
  • [30] Application of time-frequency domain reflectometry for detection and localization of a fault on a coaxial cable
    Shin, YJ
    Powers, EJ
    Choe, TS
    Hong, CY
    Song, ES
    Yook, JG
    Park, JB
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2005, 54 (06) : 2493 - 2500