Maintenance policy analysis of the regenerative air heater system using factored POMDPs

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dc.authorid0000-0002-7414-2330
dc.authorid0000-0001-6209-0863
dc.contributor.authorKıvanç, İpeken_US
dc.contributor.authorÖzgür Ünlüakın, Demeten_US
dc.contributor.authorBilgiç, Taneren_US
dc.date.accessioned2021-12-21T16:35:04Z
dc.date.available2021-12-21T16:35:04Z
dc.date.issued2022-03
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.description.abstractMaintenance optimization of multi-component systems is a difficult problem. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems under uncertainty in stochastic environments. In this study, the main POMDP solution approaches and solvers are surveyed. Then, based on experimental models with different complexities in the size of the system space, selected POMDP solvers using different representation patterns for modeling and different procedures for updating the value function while solving are compared. Furthermore, to show that factored representations are advantageous in modeling and solving the maintenance problem of multi-component systems where there exist also stochastic dependencies among the components, the maintenance problem of the one-line regenerative air heater system available in thermal power plants is modeled and solved with factored POMDPs. In-depth sensitivity analyses are performed on the obtained policy. The results show that factored POMDPs enable compact modeling, efficient policy generation and practical policy analysis for the tackled problem. Furthermore, they also motivate the use of factored POMDPs in the generation and analysis of maintenance policies for similar multi-component systems.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.citationKıvanç, İ., Özgür Ünlüakın, D. & Bilgiç, T. (2022). Maintenance policy analysis of the regenerative air heater system using factored POMDPs. Reliability Engineering and System Safety, 219, 1-13. doi:10.1016/j.ress.2021.108195en_US
dc.identifier.doi10.1016/j.ress.2021.108195
dc.identifier.endpage13
dc.identifier.issn0951-8320
dc.identifier.issn1879-0836
dc.identifier.scopus2-s2.0-85120875784
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/3370
dc.identifier.urihttp://dx.doi.org/10.1016/j.ress.2021.108195
dc.identifier.volume219
dc.identifier.wosWOS:000760341500011
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.institutionauthorid0000-0002-7414-2330
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier 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.subjectAir heateren_US
dc.subjectFactored structureen_US
dc.subjectHeating equipmenten_US
dc.subjectLearning algorithmsen_US
dc.subjectMaintenanceen_US
dc.subjectMaintenance optimizationen_US
dc.subjectMaintenance policyen_US
dc.subjectMaintenance problemen_US
dc.subjectMarkov processesen_US
dc.subjectMulticomponents systemsen_US
dc.subjectMulti-component systemen_US
dc.subjectPartially observable Markov decision processen_US
dc.subjectPolicy analysisen_US
dc.subjectSensitivity analysisen_US
dc.subjectStochastic dependencyen_US
dc.subjectStochastic dependenciesen_US
dc.subjectStochastic systemsen_US
dc.subjectThermoelectric power plantsen_US
dc.subjectUncertaintyen_US
dc.subjectPlanning structural inspectionen_US
dc.subjectMarkov decision-processesen_US
dc.subjectQualityen_US
dc.titleMaintenance policy analysis of the regenerative air heater system using factored POMDPsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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