A DBN based reactive maintenance model for a complex system in thermal power plants

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dc.authorid0000-0002-7414-2330
dc.authorid0000-0002-3835-7684
dc.authorid0000-0002-1150-7064
dc.contributor.authorÖzgür Ünlüakın, Demeten_US
dc.contributor.authorTürkali, Busenuren_US
dc.contributor.authorKaracaörenli, Ayşeen_US
dc.contributor.authorAksezer, Sezgin Çağlaren_US
dc.date.accessioned2019-08-31T12:10:23Z
dc.date.accessioned2019-08-05T16:02:58Z
dc.date.available2019-08-31T12:10:23Z
dc.date.available2019-08-05T16:02:58Z
dc.date.issued2019-10
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.description.abstractThermal power plants consist of several complex systems having many interacting hidden components. Any unexpected failure may lead to prolonged downtime and serious lost profits. Therefore, implementing an effective maintenance policy is crucial for this sector. Although preventive maintenance has become a more popular strategy, it does not completely prevent the need for corrective maintenance. Our aim in this study is to tackle the corrective maintenance implementation problem of a multi-component partially observable dynamic system based on a regenerative air heater in a thermal power plant. We propose eight methods having different efficiency measures with respect to time, effect and probability criteria to minimize the total number of maintenance activities in a given planning horizon. Performances of these methods are evaluated under corrective maintenance strategy using dynamic Bayesian networks. The results show that fault effect methods with best working state probability measure perform better than the others considering both the total amount of maintenance activities and also the solution time. We also point out how the methods can be implemented in real-life and how the results can be used for requirements planning. Furthermore, the proposed methods can be used for the corrective maintenance of all systems having hidden interacting components.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [117M587]en_US
dc.description.sponsorshipThis research is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant: 117M587.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖzgür Ünlüakın, D., Türkali, B., Karacaörenli, A. & Aksezer, S. Ç. (2019). A DBN based reactive maintenance model for a complex system in thermal power plants. Reliability Engineering and System Safety, 190, doi:10.1016/j.ress.2019.106505en_US
dc.identifier.doi10.1016/j.ress.2019.106505
dc.identifier.issn0951-8320
dc.identifier.issn1879-0836
dc.identifier.scopus2-s2.0-85066414115
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11729/1692
dc.identifier.urihttps://dx.doi.org/10.1016/j.ress.2019.106505
dc.identifier.volume190
dc.identifier.wosWOS:000474497100016
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorÖzgür Ünlüakın, Demeten_US
dc.institutionauthorTürkali, Busenuren_US
dc.institutionauthorKaracaörenli, Ayşeen_US
dc.institutionauthorAksezer, Sezgin Çağlaren_US
dc.institutionauthorid0000-0002-7414-2330
dc.institutionauthorid0000-0002-3835-7684
dc.institutionauthorid0000-0002-1150-7064
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofReliability Engineering and System Safetyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectReactive maintenanceen_US
dc.subjectMulti-component systemsen_US
dc.subjectDynamic Bayesian networksen_US
dc.subjectReliabilityen_US
dc.subjectDynamic bayesian networken_US
dc.subjectMulticomponent systemsen_US
dc.subjectRisk analysisen_US
dc.subjectPrognosis modelen_US
dc.subjectSafety analysisen_US
dc.subjectBow-Tieen_US
dc.subjectOptimizationen_US
dc.titleA DBN based reactive maintenance model for a complex system in thermal power plantsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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