A review on the application of the time reversal theory to wire network and power system diagnosis

Moussa Kafal, Reza Razzaghi, Andrea Cozza, Fabrice Auzanneau, Wafa Ben Hassen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

Transmission lines are the backbone structures of electrical systems. They play a primary role in energy and signal distribution where their reliable functioning is of critical importance. The fault location problem has been thoroughly studied due to the importance of safety and reliability aspects. Among various methods, time reversal (TR), which is an adaptive focusing technique employed to focus waves in space and time, has been lately applied with success to transmission line fault diagnosis. Its unprecedented performance has been demonstrated for precisely locating soft and hard faults in simple and complex topologies in both power and communication networks. This paper provides an overview of the state of the art TR techniques and their applications in communication and power networks.

Original languageEnglish
Title of host publication2019 IEEE International Instrumentation and Measurement Technology Conference Proceedings
EditorsMelanie Ooi, Vincenzo Piuri, Andrew Taberner
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781538634608
DOIs
Publication statusPublished - 1 May 2019
EventIEEE International Instrumentation and Measurement Technology Conference 2019 - Auckland, New Zealand
Duration: 20 May 201923 May 2019
Conference number: 36th
https://ieeexplore.ieee.org/xpl/conhome/8822388/proceeding (Proceedings)

Conference

ConferenceIEEE International Instrumentation and Measurement Technology Conference 2019
Abbreviated titleI2MTC 2019
CountryNew Zealand
CityAuckland
Period20/05/1923/05/19
Internet address

Keywords

  • Fault detection and location
  • Power grids
  • Time reversal
  • Transmission lines
  • Wiring networks

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