• Title of article

    Condition-based fault tree analysis (CBFTA): A new method for improved fault tree analysis (FTA), reliability and safety calculations

  • Author/Authors

    Shalev، نويسنده , , Dan M. and Tiran، نويسنده , , Joseph، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    11
  • From page
    1231
  • To page
    1241
  • Abstract
    Condition-based maintenance methods have changed systems reliability in general and individual systems in particular. Yet, this change does not affect system reliability analysis. System fault tree analysis (FTA) is performed during the design phase. It uses components failure rates derived from available sources as handbooks, etc. Condition-based fault tree analysis (CBFTA) starts with the known FTA. Condition monitoring (CM) methods applied to systems (e.g. vibration analysis, oil analysis, electric current analysis, bearing CM, electric motor CM, and so forth) are used to determine updated failure rate values of sensitive components. The CBFTA method accepts updated failure rates and applies them to the FTA. The CBFTA recalculates periodically the top event (TE) failure rate (λTE) thus determining the probability of system failure and the probability of successful system operation—i.e. the systemʹs reliability. a tool for enhancing system reliability during the design stages. But, it has disadvantages, mainly it does not relate to a specific system undergoing maintenance. is tool for updating reliability values of a specific system and for calculating the residual life according to the systemʹs monitored conditions. Using CBFTA, the original FTA is ameliorated to a practical tool for use during the systemʹs field life phase, not just during system design phase. aper describes the CBFTA method and its advantages are demonstrated by an example.
  • Keywords
    Condition monitoring (CM) , Failure Rate , Condition-based fault tree analysis (CBFTA) , Risk analysis , Fault Tree Analysis (FTA) , Mean time between failures (MTBF) , Reliability prediction , System reliability
  • Journal title
    Reliability Engineering and System Safety
  • Serial Year
    2007
  • Journal title
    Reliability Engineering and System Safety
  • Record number

    1571809