Application of time-frequency domain reflectometry based on multi-band signal for detection and localization of fault on cable

Moon Kang Jung, Yong June Shin, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper presents time-frequency domain reflectometry (TFDR)-fault detection method based on frequency division multiplexed (FDM) signal. The TFDR-method sends a reference signal into a cable and measures the reflected signals to detect a fault on cable. Therefore, the performance of TFDR-based detection method is determined by characteristic of the reference signal. Especially, choosing frequency band of the reference signal is main concern of TFDR-method since it suffers from trade-off relation between spatial resolution and attenuation of the reference signal. If one increases frequency band of reference signal to improve spatial resolution, the signal suffers from attenuation in cable. That is trade-off relation of signal. Thus, to optimize this trade-off issue, we propose multi-band signal based on FDM. This approach is able to synthesize two signals which have different frequency band; one is designed for the spatial resolution, and the other is used for attenuation. Hence, in TFDR-method, the proposed reference signal can solve the optimization problem and gives more accurate fault location without the distance limitation caused by attenuation and spatial resolution. Simulation results show that the proposed method localizes the accurate fault location.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages396-401
Number of pages6
ISBN (Electronic)9788993215069
DOIs
Publication statusPublished - 2014 Dec 16
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
Country/TerritoryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

Bibliographical note

Publisher Copyright:
© 2014 Institute of Control, Robotics and Systems (ICROS).

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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