• DocumentCode
    3534997
  • Title

    On the use of statistical methods and models for predicting the end of life of electric power equipment

  • Author

    Maciejewski, Henryk ; Anders, George J. ; Endrenyi, John

  • Author_Institution
    Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2011
  • fDate
    11-13 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper is devoted to the problem of estimating the end of life of electric power equipment. Several statistical methods and models commonly used in reliability engineering are discussed, focusing on (a) the technical merit of each described method, and (b) the suitability of each method for determining the end of life of power equipment. Description of statistical methods considers both censored and uncensored observations. The problem of model selection for analysis of censored data is given special consideration: a novel approach is proposed for this. The points made in the text are illustrated by several numerical examples pertaining to the lifetime of transformers, however the methods can be applied for other types of electric or electronic equipment (e.g., electronic relays).
  • Keywords
    power apparatus; power transformers; reliability; statistical analysis; electric power equipment; reliability engineering; statistical method; technical merit; transformer lifetime; Biological system modeling; Data models; Estimation; Hazards; Mathematical model; Parametric statistics; Statistical analysis; end of life prediction; mathematical models; reliability analysis; statistical methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2011 International Conference on
  • Conference_Location
    Malaga
  • ISSN
    2155-5516
  • Print_ISBN
    978-1-4244-9845-1
  • Electronic_ISBN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2011.6036507
  • Filename
    6036507