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)

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.
LanguageEnglish
Pages28-33
Number of pages6
JournalIEEE Electrical Insulation Magazine
Volume32
Issue number1
DOIs
Publication statusPublished - Jan 2016

Fingerprint

Insulation
Uncertainty

Keywords

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

Cite this

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Prognostics of transformer paper insulation using statistical particle filtering of on-line data. / Catterson, V. M.; Melone, J.; Segovia Garcia, M.

In: IEEE Electrical Insulation Magazine, Vol. 32, No. 1, 01.2016, p. 28-33.

Research output: Contribution to journalArticle

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