• DocumentCode
    2914102
  • Title

    Estimation of Failure Cost in Life Cycle Cost of Power Equipment

  • Author

    Qiu, Guihua ; Xia, Chengjun ; Zhang, Hong

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Life Cycle Cost(LCC) is being more and more widely applied in the procurement and management of power equipment, however, the failure cost in LCC of the equipment is difficult to forecast because of uncertainty during its operation. According to the characteristic that the cumulative failure probability observes the Weibull distribution model, a new referential method is put forward in this paper. The parameters of Weibull model can be estimated with least square method and then the MTBF of power equipment is calculated, thus, the estimation model of failure cost is established. Electrical equipment can be classified into two kinds, non-repairable equipment and repairable equipment. In consideration of the particularity of the MTBF of repairable equipment, equal degradation theory is introduced to reveal the relationship between the MTBFs. In the end, an example is given to demonstrate the validity of the method discussed.
  • Keywords
    Weibull distribution; least squares approximations; life cycle costing; maintenance engineering; power apparatus; procurement; LCC; Weibull distribution model; failure cost estimation; least square method; life cycle cost; power equipment management; procurement; repairable equipment; Biological system modeling; Degradation; Equations; Estimation; Least squares methods; Mathematical model; Weibull distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5747691
  • Filename
    5747691