• DocumentCode
    3214173
  • Title

    Condition based failure rate modeling for electric network components

  • Author

    Pan, J. ; Wang, Z. ; Lubkeman, D.

  • Author_Institution
    ABB Corp. Res. US Center, Raleigh, NC
  • fYear
    2009
  • fDate
    15-18 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents methodologies to estimate electric network component failure rates. A component is made of subcomponents and the failure of each subcomponent is feature dependent. Features are measurable or observable inputs, which can affect the life of one or more subcomponents. Failure statistics are usually available in the electric power industry for the component and its subcomponents. This paper shows how to use the failure statistics to obtain the failure rate of a particular component according to its real conditions. An illustrative example is given to demonstrate how the proposed methodologies are applied for failure rate estimation of power circuit breakers. The methodologies can be used for condition-based reliability analysis for electric power networks, in order to obtain an optimized maintenance strategy.
  • Keywords
    circuit breakers; failure analysis; maintenance engineering; power system reliability; statistical analysis; condition based failure rate modeling; condition-based reliability analysis; electric network components; electric power networks; failure statistics; optimized maintenance strategy; power circuit breakers; Circuit breakers; Data mining; Equipment failure; Failure analysis; Optimization methods; Power system reliability; Power transformers; Preventive maintenance; Statistics; Underground power cables; Equipment failure statistics; condition-based maintenance; failure rate modeling; reliability assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-3810-5
  • Electronic_ISBN
    978-1-4244-3811-2
  • Type

    conf

  • DOI
    10.1109/PSCE.2009.4839968
  • Filename
    4839968