Classification of multiple electromagnetic interference events in high voltage power plant

Imene Mitiche, Gordon Morison, Alan Nesbitt, Michael Hughes-Narborough, Brian G. Stewart, Philip Boreham

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

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Abstract

This paper addresses condition assessment of electrical assets contained in high voltage power plants. Our work introduces a novel analysis approach of multiple event signals related to faults, and which are measured using Electro-Magnetic Interference method. The proposed method transfers the expert’s knowledge on events presence in the signals to an intelligent system which could potentially be used for automatic EMI diagnosis. Cyclic spectrum analysis is used as feature extraction to efficiently extract the repetitive rate and the dynamic discharge level of the events, and multi-class support vector machine is adopted for their classification. This first and novel method achieved successful results which may have potential implications on developing a framework for automatic diagnosis tool of EMI events.
Original languageEnglish
Title of host publication53rd International Universities Power Engineering Conference
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages4
Publication statusAccepted/In press - 11 Jul 2018
Event53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow Caledonian University, Glasgow, United Kingdom
Duration: 4 Sep 20187 Sep 2018
Conference number: 53rd
http://www.upec2018.com/

Conference

Conference53rd International Universities Power Engineering Conference, UPEC 2018
Abbreviated titleUPEC 2018
CountryUnited Kingdom
CityGlasgow
Period4/09/187/09/18
Internet address

Keywords

  • electrical condition assessment
  • electro-magnetic interference
  • partial discharge
  • expert system
  • pattern recognition

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