The density based segmentation algorithm for interpreting partial discharge data

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

1 Scopus citations

Abstract

Partial Discharge (PD) signal interpretation has become an essential tool for reliable quality assessment of insulation systems in HV electric machines. Automated classification and recognition of the different types of faults occurring within the insulation system is an important open research problem in this field. In this work, we propose a new approach for the interpretation of PD data. A novel segmentation algorithm is developed to segment PD patterns into their main connected components, with the goal of using these segments later on, to extract distinctive features necessary for fault identification and classification. Several segmentation results are reported along with examples illustrating possible usage in fault identification.

Original languageBritish English
Title of host publicationProceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Solid Dielectrics, ICSD 2010 - Potsdam, Germany
Duration: 4 Jul 20109 Jul 2010

Publication series

NameProceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010

Conference

Conference2010 IEEE International Conference on Solid Dielectrics, ICSD 2010
Country/TerritoryGermany
CityPotsdam
Period4/07/109/07/10

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