Quantitative analysis of a fault tree with priority AND gates

被引:84
作者
Yuge, T. [1 ]
Yanagi, S. [1 ]
机构
[1] Natl Def Acad, Dept Elect & Elect Engn, Yokosuka, Kanagawa 2398686, Japan
关键词
dynamic FT; priority AND gate; top event probability; Markov analysis; inclusion-exchision;
D O I
10.1016/j.ress.2008.02.016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A method for calculating the exact top event probability of a fault tree with priority AND gates and repeated basic events is proposed when the minimal cut sets are given. A priority AND gate is an AND gate where the input events must occur in a prescribed order for the occurrence of the output event. It is known that the top event probability of such a dynamic fault tree is obtained by converting the tree into,in equivalent Markov model. However, this method is not realistic for a complex system model because the number of states which should be considered in the Markov analysis increases explosively as the number of basic events increases. To overcome the shortcomings of the Markov model, we propose an alternative method to obtain the top event probability in this paper. We assume that the basic events occur independently, exponentially distributed, and the component whose failure corresponds to the occurrence of the basic event is non-repairable. First, we obtain the probability of occurrence of the output event of a single priority AND gate by Markov analysis. Then, the top event probability is given by a cut set approach and the inclusion-exclusion formula. An efficient procedure to obtain the probabilities corresponding to logical products in the inclusion-exclusion formula is proposed. The logical product which is composed of two or more priority AND gates having at least one common basic event as their inputs is transformed into the sum of disjoint events which are equivalent to a priority AND gate in the procedure. Numerical examples show that our method works well for complex systems. (c) 2008 Elsevier Ltd. Ail rights reserved.
引用
收藏
页码:1577 / 1583
页数:7
相关论文
共 13 条
[1]   A discrete-time Bayesian network reliability modeling and analysis framework [J].
Boudali, H ;
Dugan, JB .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2005, 87 (03) :337-349
[2]  
DUGAN JB, 1990, P REL MAINT S, P286, DOI 10.1109/ARMS.1990.67971
[3]   Developing a low-cost high-quality software tool for dynamic fault-tree analysis [J].
Dugan, JB ;
Sullivan, KJ ;
Coppit, D .
IEEE TRANSACTIONS ON RELIABILITY, 2000, 49 (01) :49-59
[4]   FAULT-TREES AND MARKOV-MODELS FOR RELIABILITY-ANALYSIS OF FAULT-TOLERANT DIGITAL-SYSTEMS [J].
DUGAN, JB ;
BAVUSO, SJ ;
BOYD, MA .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 1993, 39 (03) :291-307
[5]  
DUGAN JB, 2000, GALILEO TOOL DYNAMIC
[6]   EFFICIENT CONSTRUCTION OF MINIMAL CUT SETS FROM FAULT TREES [J].
GARRIBBA, S ;
MUSSIO, P ;
NALDI, F ;
REINA, G ;
VOLTA, G .
IEEE TRANSACTIONS ON RELIABILITY, 1977, 26 (02) :88-94
[7]   CALCULATING EXACT TOP-EVENT PROBABILITIES USING SIGMA-PI-PATREC [J].
HEGER, AS ;
BHAT, JK ;
STACK, DW ;
TALBOTT, DV .
IEEE TRANSACTIONS ON RELIABILITY, 1995, 44 (04) :640-644
[8]   FAULT TREE ANALYSIS, METHODS, AND APPLICATIONS - A REVIEW [J].
LEE, WS ;
GROSH, DL ;
TILLMAN, FA ;
LIE, CH .
IEEE TRANSACTIONS ON RELIABILITY, 1985, 34 (03) :194-203
[9]  
Long W, 2002, PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL I AND II, PROCEEDINGS, P391
[10]  
NAKASHIMA K, 1977, IECE T E, V60, P175