Prognostic health management of aircraft power generators

Research output: Contribution to journalArticle

87 Scopus citations

Abstract

In this paper, prognostic tools are developed to detect the onset of electrical failures in an aircraft power generator, and to predict the generator's remaining useful life (RUL). Focus is on the rotor circuit since failure mode, effects, and criticality analysis (FMECA) studies indicate that it is a high priority candidate for condition monitoring. A signature feature is developed and tested by seeded fault experiments to verify that the initial stages of rotor faults are observable under diverse generator load conditions. A tracking filter is used to assess the damage state and predict generator RUL. This information helps to avoid unexpected failures while reducing the overall life-cycle cost of the system.

Original languageEnglish (US)
Pages (from-to)473-483
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume45
Issue number2
DOIs
StatePublished - Jul 20 2009

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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