Separation of multiple sources in PD measurements using an intensity based clustering algorithm

Hasan Al-Marzouqi, Alfredo Contin

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

1 Scopus citations

Abstract

Purpose of the paper is to present an application of a newly developed intensity based clustering algorithm in separating pulsating signals due to multiple PD sources and noise. It is applied to signals projected into a time-frequency plane which preserve information on the signal shapes thus, signals having different shape are grouped differently in the map. By using the proposed approach, the number and the optimum border between different groups can be obtained and the original Phase Resolved PD pattern can be split into the same number of sub-patterns. The application of the proposed algorithm to data obtained testing stator bars are reported and discussed to show its validity.

Original languageBritish English
Title of host publicationConference Record of the 2010 IEEE International Symposium on Electrical Insulation, ISEI 2010
DOIs
StatePublished - 2010
Event2010 IEEE International Symposium on Electrical Insulation, ISEI 2010 - San Diego, CA, United States
Duration: 6 Jun 20109 Jun 2010

Publication series

NameConference Record of IEEE International Symposium on Electrical Insulation
ISSN (Print)0164-2006

Conference

Conference2010 IEEE International Symposium on Electrical Insulation, ISEI 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period6/06/109/06/10

Keywords

  • Clustering
  • Diagnostics
  • Partial discharges
  • Signal classification
  • Solid insulation

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