• DocumentCode
    1753752
  • Title

    Study on the Maintenance Strategy of Power Equipment Based on Optimal LCC

  • Author

    Lu Kai ; Zhang Yao ; Suo Minggui

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    From the perspective of optimal LCC(Life cycle cost), this paper studied the method to develop a reasonable maintenance strategy of power equipment. The deterioration theory in the field of mechanical engineering was led in, based on that we analyzed the failure rates of each repair period and established the model of the optimal problem, then, through a case study, we got the optimal maintenance strategy by using GA, finally, the optimization result and the influence factors are analyzed on a briefly way.
  • Keywords
    failure (mechanical); genetic algorithms; life cycle costing; maintenance engineering; mechanical engineering; power apparatus; GA; deterioration theory; failure rates; genetic algorithms; life cycle cost; maintenance strategy; mechanical engineering; optimal LCC; power equipment; repair period; Gallium; Genetic algorithms; Optimization; Preventive maintenance; Reliability; 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.2011.5748474
  • Filename
    5748474