Prognostics of transformer paper insulation using statistical particle filtering of on-line data

V. M. Catterson, J. Melone, M. Segovia Garcia

Research output: Contribution to journalArticle

8 Citations (Scopus)
358 Downloads (Pure)

Abstract

Prognostics of transformer remaining life can be achieved through a statistical technique called particle filtering, which gives a more accurate prediction than standard methods by quantifying sources of uncertainty.
Original languageEnglish
Pages (from-to)28-33
Number of pages6
JournalIEEE Electrical Insulation Magazine
Volume32
Issue number1
DOIs
Publication statusPublished - Jan 2016

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Keywords

  • transformer
  • prognostics
  • paper insulation
  • life estimation
  • condition monitoring

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