New passive methodology for online power cable diagnosis by frequency analysis

Youngdeug Kim, Keith Holbert

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

1 Scopus citations

Abstract

Power system current and voltage signals contain valuable information about the system status within their small random fluctuations. Frequency domain analysis of these so-called noise signals enables us to monitor the power cable health. This paper proposes a new passive methodology for online power cable diagnosis by resonant frequency analysis. The feasibility of this methodology is proved by analytic studies and simulation results using PSCAD.

Original languageEnglish (US)
Title of host publication2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PublisherIEEE Computer Society
ISBN (Electronic)9781467380409
DOIs
StatePublished - Sep 30 2015
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: Jul 26 2015Jul 30 2015

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2015-September
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

OtherIEEE Power and Energy Society General Meeting, PESGM 2015
CountryUnited States
CityDenver
Period7/26/157/30/15

Keywords

  • Power transmission
  • condition monitoring
  • frequency-domain analysis
  • resonance
  • transfer functions

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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