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 publicationIEEE Power and Energy Society General Meeting
PublisherIEEE Computer Society
Volume2015-September
ISBN (Print)9781467380409
DOIs
StatePublished - Sep 30 2015
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: Jul 26 2015Jul 30 2015

Other

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

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Keywords

  • condition monitoring
  • frequency-domain analysis
  • Power transmission
  • 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

Cite this

Kim, Y., & Holbert, K. (2015). New passive methodology for online power cable diagnosis by frequency analysis. In IEEE Power and Energy Society General Meeting (Vol. 2015-September). [7285948] IEEE Computer Society. https://doi.org/10.1109/PESGM.2015.7285948