Analysis of partial discharge features as prognostic indicators of electrical treeing

N.H. Aziz, V. M. Catterson, S. M. Rowland, S. Bahadoorsingh

Research output: Contribution to journalArticle

7 Citations (Scopus)
231 Downloads (Pure)

Abstract

The aim of this paper is to identify promising indicators for prognosis of electrical treeing. Both phase-resolved partial discharge analysis (PRPDA) and pulse sequence analysis (PSA) are utilized. The prognostic properties of the features are evaluated in terms of monotonicity, prognosability, and trendability. The investigation reveals that PSA has a higher prognostic suitability index than PRPDA. An exponential fit is applied to the feature with the highest suitability index, in order to demonstrate its use for prognostic modeling and prediction of time until breakdown.
Original languageEnglish
Pages (from-to)129-136
Number of pages9
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Volume24
Issue number1
DOIs
Publication statusPublished - 28 Feb 2017

Keywords

  • electrical treeing
  • partial discharge
  • pulse sequence analysis
  • phase-resolved partial discharge analysis
  • prognostic
  • lifetime model
  • curve fitting

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