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Intelligent optimization systems for steam boiler maintenance: real case study

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dc.citedby1
dc.contributor.authorFuzi N.F.A.en_US
dc.contributor.authorIsmail F.B.en_US
dc.contributor.authorid57211807166en_US
dc.contributor.authorid58027086700en_US
dc.date.accessioned2023-05-29T07:27:59Z
dc.date.available2023-05-29T07:27:59Z
dc.date.issued2019
dc.description.abstractThe steam boiler plays an integral role in power plants. Most researcher detected that steam boiler in a power plant face an issue of a major outage. To avoid repetition of outage or failure, preventive maintenance scheduling also known as scheduled maintenance has been used widely in the power plant as an alternative based on the failure history of the equipment. However, the main issue plaguing scheduled maintenance is the redundancy of maintenance activities. Based on the selected adopted case study, we identified certain redundant activities in the scheduling. As a potential solution to this problem, the Analytic Hierarchy Process (AHP) and the Particle Swarm Optimization (PSO) are implemented to the adopted case study to optimize the maintenance operational duration and cost before implementing to the real case study. � 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage1755
dc.identifier.issue3 Special Issue
dc.identifier.scopus2-s2.0-85079036479
dc.identifier.spage1749
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079036479&partnerID=40&md5=b352187ea41ab01b7ec7ed71311e0099
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24860
dc.identifier.volume11
dc.publisherInstitute of Advanced Scientific Research, Inc.en_US
dc.sourceScopus
dc.sourcetitleJournal of Advanced Research in Dynamical and Control Systems
dc.titleIntelligent optimization systems for steam boiler maintenance: real case studyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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