• DocumentCode
    591708
  • Title

    Reliability assessment framework for repairable system

  • Author

    Muhammad, Muhammad ; Mokhtar, A.A. ; Hussin, Husnayati

  • Author_Institution
    Mech. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    553
  • Lastpage
    557
  • Abstract
    System reliability assessment serves as one of the decision tools in selecting the right maintenance strategy. However, selecting the right reliability model can be a formidable task given the vast number of available reliability prediction models This paper presents a framework of selecting the right model based on system failure data with special emphasis on generalized renewal process (GRP) for system that exhibits failure trending The results indicate a better fit for the data with GRP compared with life data analysis approach.
  • Keywords
    data analysis; decision making; maintenance engineering; reliability; GRP; data analysis approach; decision tools; failure trending; generalized renewal process; maintenance strategy; reliability assessment framework; reliability prediction models; repairable system; system reliability assessment; Analytical models; Data models; Maintenance engineering; Market research; Reliability engineering; Standards; Repairable system; generalized renewal process; reliability prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business, Engineering and Industrial Applications (ISBEIA), 2012 IEEE Symposium on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4577-1632-4
  • Type

    conf

  • DOI
    10.1109/ISBEIA.2012.6422948
  • Filename
    6422948