DocumentCode :
2950515
Title :
Application of deconvolution for wire fault location using time domain reflectometry
Author :
Qinghai Shi ; Kanoun, Olfa
Author_Institution :
Dept. of Meas. & Sensor Technol., Chemnitz Univ. of Technol., Chemnitz, Germany
fYear :
2012
fDate :
28-31 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper is to propose an efficient novel method for the wire fault detection with transfer function analysis using time domain reflectometry (TDR), iterative deconvolution and optimization techniques. The paper shows how iterative deconvolution and optimization techniques are used to locate hard faults, enhance the signal-to-noise ratio for detecting small discontinuities. This developed method can also be applied to characterize the wire faults in the branches of the network. The adaptive filters are applied to reduce the deconvolution noise. The performance of three frequency domain deconvolution techniques, the short window function, the optimum compensation and the automated-regularization technique are applied to solve the ill-posed inverse problem for the transfer function between incident and reflected waves. The proposed approach was applied to locate faults on the coaxial cables and twisted pair cables.
Keywords :
adaptive filters; coaxial cables; deconvolution; fault location; frequency-domain analysis; inverse problems; iterative methods; optimisation; time-domain reflectometry; transfer functions; twisted pair cables; wires (electric); adaptive filter; automated regularization technique; coaxial cable; discontinuity detection; frequency domain deconvolution; ill-posed inverse problem; iterative deconvolution; optimization; signal-to-noise ratio; time domain reflectometry; transfer function analysis; twisted pair cable; wire fault location; Adaptive filters; Circuit faults; Coaxial cables; Deconvolution; Noise; Time domain analysis; Wires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
ISSN :
1930-0395
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2012.6411409
Filename :
6411409
Link To Document :
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