Reliability importance analysis of Markovian systems at steady state using perturbation analysis-Reference-Cited by-同舟云学术

Reliability importance analysis of Markovian systems at steady state using perturbation analysis

Published:2008-11 Issue:11 Volume:93 Page:1605-1615
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Do Van Phuc,Barros Anne,Bérenguer Christophe

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference26 articles.

1. Huseby AB. Importance measures for multicomponent binary systems. Technical Report Statistical Research Report No. 11-04, University of Oslo, Department of Mathematics, December 2004, ISSN 0806-3842.

2. Reliability: importance of components;Natvig;Encycl Stat Sci,1988

3. Efficient algorithms to assess component and gate importance in fault tree analysis;Dutuit;Reliab Eng Syst Safety,2001

4. A single sample path-based performance sensitivity formula for Markov chains;Cao;IEEE Trans Autom Control,1996

5. Sensitivity analysis of stationary performance measures for Markov chains;Dai;Math Comput Modelling,1996

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Dynamic Maintenance Strategy for Multi-Component Systems Using a Genetic Algorithm;Computer Modeling in Engineering & Sciences;2023

2. Joint Availability Importance on Markov Model;2022 27th Asia Pacific Conference on Communications (APCC);2022-10-19

3. Failure Criticality Importance Analysis in the Steady-State Condition;2021 5th International Conference on System Reliability and Safety (ICSRS);2021-11-24

4. Stress-strength interference-based importance for series systems considering common cause failure;Eksploatacja i Niezawodnosc - Maintenance and Reliability;2020-03-16

5. Conditional reliability-based importance measures;Reliability Engineering & System Safety;2020-01