Intelligent optimization systems for steam boiler maintenance: real case study

The 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 plan...

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Main Authors: Fuzi N.F.A., Ismail F.B.
Other Authors: 57211807166
Format: Article
Published: Institute of Advanced Scientific Research, Inc. 2023
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spelling my.uniten.dspace-248602023-05-29T15:27:59Z Intelligent optimization systems for steam boiler maintenance: real case study Fuzi N.F.A. Ismail F.B. 57211807166 58027086700 The 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. Final 2023-05-29T07:27:59Z 2023-05-29T07:27:59Z 2019 Article 2-s2.0-85079036479 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079036479&partnerID=40&md5=b352187ea41ab01b7ec7ed71311e0099 https://irepository.uniten.edu.my/handle/123456789/24860 11 3 Special Issue 1749 1755 Institute of Advanced Scientific Research, Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description The 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.
author2 57211807166
author_facet 57211807166
Fuzi N.F.A.
Ismail F.B.
format Article
author Fuzi N.F.A.
Ismail F.B.
spellingShingle Fuzi N.F.A.
Ismail F.B.
Intelligent optimization systems for steam boiler maintenance: real case study
author_sort Fuzi N.F.A.
title Intelligent optimization systems for steam boiler maintenance: real case study
title_short Intelligent optimization systems for steam boiler maintenance: real case study
title_full Intelligent optimization systems for steam boiler maintenance: real case study
title_fullStr Intelligent optimization systems for steam boiler maintenance: real case study
title_full_unstemmed Intelligent optimization systems for steam boiler maintenance: real case study
title_sort intelligent optimization systems for steam boiler maintenance: real case study
publisher Institute of Advanced Scientific Research, Inc.
publishDate 2023
_version_ 1806427785950920704
score 13.214268