New insights on multi-state component criticality and importance

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.

[1]  Bent Natvig,et al.  Multistate reliability theory—a case study , 1986, Advances in Applied Probability.

[2]  F. C. Meng,et al.  Component-relevancy and characterization results in multistate systems , 1993 .

[3]  Yi-Kuei Lin,et al.  Using minimal cuts to evaluate the system reliability of a stochastic-flow network with failures at nodes and arcs , 2002, Reliab. Eng. Syst. Saf..

[4]  Marco Muselli,et al.  Approximate multi-state reliability expressions using a new machine learning technique , 2005, Reliab. Eng. Syst. Saf..

[5]  David W. Coit,et al.  A generalized multistate-based path vector approach to multistate two-terminal reliability , 2006 .

[6]  Gregory Levitin,et al.  A universal generating function approach for the analysis of multi-state systems with dependent elements , 2004, Reliab. Eng. Syst. Saf..

[7]  Weiwe-Chang Yeh A simple MC-based algorithm for evaluating reliability of stochastic-flow network with unreliable nodes , 2004, Reliab. Eng. Syst. Saf..

[8]  Richard E. Barlow,et al.  Coherent Systems with Multi-State Components , 1978, Math. Oper. Res..

[9]  W. Griffith MULTISTATE RELIABILITY MODELS , 1980 .

[10]  P. Vassiliou,et al.  Reliability importance of components in a complex system , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.

[11]  Emad El-Neweihi,et al.  Redundancy importance and allocation of spares in coherent systems , 1991 .

[12]  J. Sethuraman,et al.  Multistate Coherent Systems. , 1978 .

[13]  D. Vasseur,et al.  International survey on PSA figures of merit , 1999 .

[14]  J. B. Fussell,et al.  How to Hand-Calculate System Reliability and Safety Characteristics , 1975, IEEE Transactions on Reliability.

[15]  M. Cheok,et al.  Use of importance measures in risk-informed regulatory applications , 1998 .

[16]  Luca Podofillini,et al.  Monte Carlo simulation analysis of the effects of different system performance levels on the importance of multi-state components , 2003, Reliab. Eng. Syst. Saf..

[17]  David W. Coit,et al.  A heuristic for solving the redundancy allocation problem for multi-state series-parallel systems , 2004, Reliab. Eng. Syst. Saf..

[18]  David A. Butler A complete importance ranking for components of binary coherent systems, with extensions to multi-state systems , 1979 .

[19]  Shaomin Wu,et al.  Performance utility-analysis of multi-state systems , 2003, IEEE Trans. Reliab..

[20]  Avinash Agrawal,et al.  A Survey of Network Reliability and Domination Theory , 1984, Oper. Res..

[21]  D. Elmakis,et al.  Redundancy optimization for series-parallel multi-state systems , 1998 .

[22]  Kailash C. Kapur,et al.  Customer-driven reliability models for multistate coherent systems , 1994 .

[23]  D. Elmakis,et al.  Power system structure optimization subject to reliability constraints , 1996 .

[24]  David A. Butler Technical Note - An Importance Ranking for System Components Based upon Cuts , 1977, Oper. Res..

[25]  Yi-Kuei Lin,et al.  A simple algorithm for reliability evaluation of a stochastic-flow network with node failure , 2001, Comput. Oper. Res..

[26]  Luca Podofillini,et al.  Generalised importance measures for multi-state elements based on performance level restrictions , 2003, Reliab. Eng. Syst. Saf..

[27]  Gregory Levitin,et al.  Importance and sensitivity analysis of multi-state systems using the universal generating function method , 1999 .

[28]  David W. Coit,et al.  Composite importance measures for multi-state systems with multi-state components , 2005, IEEE Transactions on Reliability.

[29]  David W. Coit,et al.  A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability , 2005, Reliab. Eng. Syst. Saf..

[30]  Terje Aven,et al.  Two new component importance measures for a flow network system , 1986 .