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An Algorithm for Obtaining the Prior Information of Bounded Sampling

SC IJPE 35

Shuangwei Xu and Xiao-Yue Wu

School of Information Systems and Management, National University of Defense Technology, Changsha, 410073, P. R. China

Received on: February 27, 2012

 

Abstract:

Analytical methods and crude simulation methods can hardly be used to evaluate the reliability of large and highly-reliable systems. The bounded sampling method is an efficient reliability simulation method, and the prior information is a key factor that influences its efficiency. An algorithm is proposed to obtain the non-intersection partial minimal cut sets and minimal path sets, which would save some pretreatment time of bounded sampling. The convergences of bounded sampling are compared under different prior information schemes through an illustrative example.

 

Status: Accepted for publication

 

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