New insights on multi-state component criticality and importance

被引:41
作者
Ramirez-Marquez, Jose E.
Rocco, Claudio M.
Gebre, Bethel A.
Coit, David W.
Tortorella, Michael
机构
[1] Stevens Inst Technol, Dept Syst Engn & Engn Management, Hoboken, NJ 07030 USA
[2] Cent Univ Venezuela, Fac Ingn, Caracas, Venezuela
[3] Rutgers State Univ, Dept Ind & Syst Engn, Piscataway, NJ 08854 USA
关键词
reliability; multi-state system; component criticality; importance measures;
D O I
10.1016/j.ress.2005.08.009
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, new importance measures for multi-state systems with multi-state components are introduced and evaluated. These new measures complement and enhance current work done in the area of multi-state reliability. In general, importance measures are used to evaluate and rank the criticality of component or component states with respect to system reliability. The focus of the study is to provide intuitive and clear importance measures that can be used to enhance system reliability from two perspectives: (1) how a specific component affects multi-state system reliability and (2) how a particular component state or set of states affects multi-state system reliability. The first measure unsatisfied demand index, provides insight regarding a component or component state contribution to unsatisfied demand. The second measure multi-state failure frequency index, elaborates on an approach that quantifies the contribution of a particular component or component state to system failure. Finally, the multi-state redundancy importance identifies where to allocate component redundancy as to improve system reliability. The findings of this study indicate that both perspectives can be used to complement each other and as an effective tool to assess component criticality. Examples illustrate and compare the proposed measures with previous multi-state importance measures. (C) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:894 / 904
页数:11
相关论文
共 34 条
[1]   A SURVEY OF NETWORK RELIABILITY AND DOMINATION THEORY [J].
AGRAWAL, A ;
BARLOW, RE .
OPERATIONS RESEARCH, 1984, 32 (03) :478-492
[2]   2 NEW COMPONENT IMPORTANCE MEASURES FOR A FLOW NETWORK SYSTEM [J].
AVEN, T ;
OSTEBO, R .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 1986, 14 (01) :75-80
[3]  
Barlow R. E., 1978, Mathematics of Operations Research, V3, P275, DOI 10.1287/moor.3.4.275
[4]   CUSTOMER-DRIVEN RELIABILITY MODELS FOR MULTISTATE COHERENT SYSTEMS [J].
BOEDIGHEIMER, RA ;
KAPUR, KC .
IEEE TRANSACTIONS ON RELIABILITY, 1994, 43 (01) :46-50
[5]   REDUNDANCY IMPORTANCE AND ALLOCATION OF SPARES IN COHERENT SYSTEMS [J].
BOLAND, PJ ;
ELNEWEIHI, E ;
PROSCHAN, F .
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 1991, 29 (1-2) :55-66
[6]   IMPORTANCE RANKING FOR SYSTEM COMPONENTS BASED UPON CUTS [J].
BUTLER, DA .
OPERATIONS RESEARCH, 1977, 25 (05) :874-879
[7]  
BUTLER DA, 1979, NAV RES LOG, V26, P565
[8]   Use of importance measures in risk-informed regulatory applications [J].
Cheok, MC ;
Parry, GW ;
Sherry, RR .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 1998, 60 (03) :213-226
[9]   MULTISTATE COHERENT SYSTEMS [J].
ELNEWEIHI, E ;
PROSCHAN, F ;
SETHURAMAN, J .
JOURNAL OF APPLIED PROBABILITY, 1978, 15 (04) :675-688
[10]  
Elsayed E.A., 1996, RELIABILITY ENG