The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un système de décision unifié pour la classification et la localisation des défauts de câbles est proposé sur la base d'une procédure en deux étapes. Basé sur la réflectométrie dans le domaine temporel (TDR), le schéma proposé est capable de déterminer non seulement les emplacements mais également les types de défauts dans un câble sans une charge de calcul supplémentaire excessive par rapport aux autres schémas basés sur le TDR. Les résultats de la simulation et des expériences avec des données réelles mesurées démontrent que le schéma proposé présente un taux de décision correcte plus élevé que les schémas conventionnels en matière de localisation et de classification des défauts sur une large plage d'emplacements de défauts.
So Ryoung PARK
The Catholic University of Korea
Iickho SONG
Korea Advanced Institute of Science and Technology,Chongqing University of Technology
Seokho YOON
Sungkyunkwan University
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So Ryoung PARK, Iickho SONG, Seokho YOON, "A Unified Decision Scheme for Classification and Localization of Cable Faults" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 6, pp. 865-871, June 2020, doi: 10.1587/transfun.2019EAL2146.
Abstract: A unified decision scheme for the classification and localization of cable faults is proposed based on a two-step procedure. Having basis in the time domain reflectometry (TDR), the proposed scheme is capable of determining not only the locations but also types of faults in a cable without an excessive additional computational burden compared to other TDR-based schemes. Results from simulation and experiments with measured real data demonstrate that the proposed scheme exhibits a higher rate of correct decision than the conventional schemes in localizing and classifying faults over a wide range of the location of faults.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAL2146/_p
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@ARTICLE{e103-a_6_865,
author={So Ryoung PARK, Iickho SONG, Seokho YOON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Unified Decision Scheme for Classification and Localization of Cable Faults},
year={2020},
volume={E103-A},
number={6},
pages={865-871},
abstract={A unified decision scheme for the classification and localization of cable faults is proposed based on a two-step procedure. Having basis in the time domain reflectometry (TDR), the proposed scheme is capable of determining not only the locations but also types of faults in a cable without an excessive additional computational burden compared to other TDR-based schemes. Results from simulation and experiments with measured real data demonstrate that the proposed scheme exhibits a higher rate of correct decision than the conventional schemes in localizing and classifying faults over a wide range of the location of faults.},
keywords={},
doi={10.1587/transfun.2019EAL2146},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - A Unified Decision Scheme for Classification and Localization of Cable Faults
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 865
EP - 871
AU - So Ryoung PARK
AU - Iickho SONG
AU - Seokho YOON
PY - 2020
DO - 10.1587/transfun.2019EAL2146
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2020
AB - A unified decision scheme for the classification and localization of cable faults is proposed based on a two-step procedure. Having basis in the time domain reflectometry (TDR), the proposed scheme is capable of determining not only the locations but also types of faults in a cable without an excessive additional computational burden compared to other TDR-based schemes. Results from simulation and experiments with measured real data demonstrate that the proposed scheme exhibits a higher rate of correct decision than the conventional schemes in localizing and classifying faults over a wide range of the location of faults.
ER -