Automation of FMEA for Computer Servers Using Log Data with Grey Relational Analysis

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dc.contributor.authorAyaz, Halil Ibrahim
dc.contributor.authorTestik, Murat Caner
dc.date.accessioned2024-02-23T14:45:02Z
dc.date.available2024-02-23T14:45:02Z
dc.date.issued2017
dc.departmentNEÜen_US
dc.description2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEYen_US
dc.description.abstractFailure modes and effects analysis (FMEA) is a powerful and proactive quality tool for defining, detecting, and identifying potential failure modes and their effects. However, conventional FMEA process is sometimes difficult to implement due to workload required and subjectivity of the evaluations performed. Hence, automation of this tool can be useful for some application domains to objectively evaluate failures and faster implementations, which is the aim of this study. To automate the process and eliminate the subjectivity, data-based algorithms such as grey relational analysis and association analysis are implemented in the following with an application to computer servers.en_US
dc.description.sponsorshipIEEE Adv Technol Human,Istanbul Teknik Univ,Gazi Univ,Atilim Univ,TBV,Akdeniz Univ,Tmmob Bilgisayar Muhendisleri Odasien_US
dc.identifier.endpage620en_US
dc.identifier.isbn978-1-5386-0930-9
dc.identifier.scopus2-s2.0-85040608680en_US
dc.identifier.startpage616en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12452/17230
dc.identifier.wosWOS:000426856900114en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 International Conference On Computer Science And Engineering (Ubmk)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFmeaen_US
dc.subjectRisk Priority Number Grey Relational Analysisen_US
dc.subjectAssociation Analysisen_US
dc.titleAutomation of FMEA for Computer Servers Using Log Data with Grey Relational Analysisen_US
dc.typeConference Objecten_US

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