MCSS Based Numerical Simulation for Reliability Evaluation of Repairable System in NPP

نویسندگان

  • Daochuan Ge
  • Ruoxing Zhang
  • Qiang Chou
  • Yanhua Yang
چکیده

The quantitative analyses of Nuclear Power Plant (NPP)’s repairable systems are conventionally Markov-based methods. The thing is, systems’ state space grows exponentially with the increase of basic events, which makes the problem hard or even impossible to solve. In addition, the maintenance /test activities are frequently imposed on some safety-critical components, which make the Markov based approach unavailable. In this paper, a new numerical simulation approach based on MCSS (Minimal Cut Sequence Set) is proposed, which can get over the shortcomings of the conventional Markov method. Two typical cases are analyzed and results indicate that the new approach is correct as well as feasible.

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تاریخ انتشار 2014