Reliability Evaluation for a Multi-State System Under Stress-Strength Setup

dc.contributor.author Eryilmaz, Serkan
dc.contributor.author Iscioglu, Funda
dc.contributor.other Industrial Engineering
dc.contributor.other 06. School Of Engineering
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:15:56Z
dc.date.available 2024-07-05T15:15:56Z
dc.date.issued 2011
dc.description.abstract The two most commonly used reliability models in engineering applications are binary k-out-of-n:G and consecutive k-out-of-n:G systems. Multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G systems have been proposed as an extension of these systems and they have been found to be more flexible tool for modeling engineering systems. In this article, multi-state systems, in particular, multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G, are considered in a stress-strength setup. The states of the system are classified considering the number of components whose strengths above (below) the multiple stresses available in an environment. The exact state probabilities are provided and the results are illustrated for various stress-strength distributions. Maximum likelihood estimators of state probabilities are also presented. en_US
dc.identifier.doi 10.1080/03610920903411242
dc.identifier.issn 0361-0926
dc.identifier.issn 1532-415X
dc.identifier.scopus 2-s2.0-78649303910
dc.identifier.uri https://doi.org/10.1080/03610920903411242
dc.identifier.uri https://hdl.handle.net/20.500.14411/1549
dc.language.iso en en_US
dc.publisher Taylor & Francis inc en_US
dc.relation.ispartof Communications in Statistics - Theory and Methods
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Exponential distribution en_US
dc.subject Maximum likelihood estimate en_US
dc.subject Multi-state k-out-of-n:G system en_US
dc.subject Order statistics en_US
dc.subject Pareto distribution en_US
dc.subject Stress-strength reliability en_US
dc.title Reliability Evaluation for a Multi-State System Under Stress-Strength Setup en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Eryılmaz, Serkan
gdc.author.scopusid 8203625300
gdc.author.scopusid 36634469600
gdc.author.wosid Iscioglu, Funda/AAG-6989-2021
gdc.author.wosid Eryilmaz, Serkan/AAF-9349-2019
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Eryilmaz, Serkan] Atilim Univ, Dept Ind Engn, Ankara, Turkey; [Iscioglu, Funda] Ege Univ, Dept Stat, Izmir, Turkey en_US
gdc.description.endpage 558 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 547 en_US
gdc.description.volume 40 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W1985447513
gdc.identifier.wos WOS:000284222800013
gdc.oaire.diamondjournal false
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gdc.oaire.keywords Maximum likelihood estimate
gdc.oaire.keywords Exponential distribution
gdc.oaire.keywords Multi-state k-out-of-n:G system
gdc.oaire.keywords Stress-strength reliability
gdc.oaire.keywords Pareto distribution
gdc.oaire.keywords Order statistics
gdc.oaire.popularity 1.0907302E-8
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
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gdc.openalex.normalizedpercentile 0.99
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 30
gdc.plumx.crossrefcites 11
gdc.plumx.mendeley 4
gdc.plumx.scopuscites 30
gdc.scopus.citedcount 30
gdc.wos.citedcount 34
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