ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM

Multi-state system reliability is very important for complex systems which have a range of performance levels from perfect functioning to complete failure. The research works on reliability optimization of multi-state system promote the applications of multi-state system reliability. The paper provi...

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Main Authors: LI ChunYang, CHEN ShouHua, LI LingWei
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2016-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.018
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author LI ChunYang
CHEN ShouHua
LI LingWei
author_facet LI ChunYang
CHEN ShouHua
LI LingWei
author_sort LI ChunYang
collection DOAJ
description Multi-state system reliability is very important for complex systems which have a range of performance levels from perfect functioning to complete failure. The research works on reliability optimization of multi-state system promote the applications of multi-state system reliability. The paper provides a broad overview of recent research on reliability optimization of multi-state system,and discusses the further research directions. In particular,six issues are analyzed: redundancy allocation problem,maintenance / redundancy allocation problem,optimal allocation of elements,optimal reliability enhancement,multiobjective optimization,and optimization algorithms. The further research can be focused on fuzzy reliability optimization,reliability optimization in the presence of dependent failure,reliability optimization based on RAMS + C,and so on.
format Article
id doaj-art-8e44e94558f84eb8aa111e52f236e30f
institution Kabale University
issn 1001-9669
language zho
publishDate 2016-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-8e44e94558f84eb8aa111e52f236e30f2025-01-15T02:35:55ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692016-01-01381001100730596733ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEMLI ChunYangCHEN ShouHuaLI LingWeiMulti-state system reliability is very important for complex systems which have a range of performance levels from perfect functioning to complete failure. The research works on reliability optimization of multi-state system promote the applications of multi-state system reliability. The paper provides a broad overview of recent research on reliability optimization of multi-state system,and discusses the further research directions. In particular,six issues are analyzed: redundancy allocation problem,maintenance / redundancy allocation problem,optimal allocation of elements,optimal reliability enhancement,multiobjective optimization,and optimization algorithms. The further research can be focused on fuzzy reliability optimization,reliability optimization in the presence of dependent failure,reliability optimization based on RAMS + C,and so on.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.018Multi-state systemReliability optimizationUniversal generating functionMulti-objective optimization
spellingShingle LI ChunYang
CHEN ShouHua
LI LingWei
ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
Jixie qiangdu
Multi-state system
Reliability optimization
Universal generating function
Multi-objective optimization
title ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
title_full ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
title_fullStr ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
title_full_unstemmed ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
title_short ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
title_sort advances in reliability optimization of multi state system
topic Multi-state system
Reliability optimization
Universal generating function
Multi-objective optimization
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.018
work_keys_str_mv AT lichunyang advancesinreliabilityoptimizationofmultistatesystem
AT chenshouhua advancesinreliabilityoptimizationofmultistatesystem
AT lilingwei advancesinreliabilityoptimizationofmultistatesystem