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Prediction of power equipment failures based on chronological failure records

  • Georgia Institute of Technology

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

3 Scopus citations

Abstract

When power utility asset managers are facing the task of resource planning for future deployment, often times, only partial information is available: installation dates and amounts, as well as failure and replacement rates. By combining records on yearly populations of the components, estimation of failure model parameters may be possible. Parametric models may then be used for forecasting of the system's short term future failure rates and for formulation of replacement strategies. We employ the Weibull distribution and show how we estimate its parameters from past failure data. With the obtained estimates, we forecast future failures and keep on improving the estimates as new data become available.

Original languageEnglish
Title of host publicationISCAS 2006
Subtitle of host publication2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages1207-1210
Number of pages4
StatePublished - 2006
EventISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece
Duration: May 21 2006May 24 2006

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems

Conference

ConferenceISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Country/TerritoryGreece
CityKos
Period05/21/0605/24/06

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