DocumentCode :
109540
Title :
Wire Fault Location in Coaxial Cables by Impedance Spectroscopy
Author :
Qinghai Shi ; Kanoun, Olfa
Author_Institution :
Dept. of Meas. & Sensor Technol., Chemnitz Univ. of Technol., Chemnitz, Germany
Volume :
13
Issue :
11
fYear :
2013
fDate :
Nov. 2013
Firstpage :
4465
Lastpage :
4473
Abstract :
A new technique is proposed to detect and locate wire faults using the impedance spectroscopy and a model-based approach. A modeling approach for transmission lines is developed, in which every cable part having the same characteristic impedance is represented analytically by a frequency-dependent ABCD model. The model parameter extraction is resolved by global optimization techniques based on genetic algorithms leading to a robust convergence behavior and excellent accuracy. This novel method enables the location of hard and soft faults and the identification of types of wire faults. The bandwidth of the developed transmission line model fits to experimental results, so that influence effects such as losses, dispersion, and frequency-dependent signal propagation can be precisely modeled. The calculation time is not proportional to the wiring length or dependent on cable system complexity by numerical methods such as FDTD.
Keywords :
coaxial cables; fault location; finite difference time-domain analysis; genetic algorithms; transmission lines; FDTD; cable system complexity; characteristic impedance; coaxial cables; frequency-dependent ABCD model; frequency-dependent signal propagation; genetic algorithms; global optimization techniques; hard faults; impedance spectroscopy; model parameter extraction; numerical methods; robust convergence behavior; soft faults; transmission line model; wire fault detection; wire fault location; wiring length; Impedance Spectroscopy (IS); coaxial cable; genetic algorithm (GA); global optimization technique; model-based signals processing; wire fault location;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2013.2269218
Filename :
6542639
Link To Document :
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