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Dynamic Maintenance based on Fuzzy Logic

2024Artigo científico Acesso aberto
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dc.contributor.authorLampreia, Suzana
dc.contributor.authorMestre, Inês
dc.contributor.authorMorgado, Teresa
dc.contributor.authorNavas, Helena
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.pblWSEAS Press
dc.date.accessioned2025-03-26T21:14:06Z
dc.date.available2025-03-26T21:14:06Z
dc.date.issued2024
dc.descriptionFunding Information: This research was supported by CINAV \u2013 Portuguese Naval Academy. Publisher Copyright: © 2024, World Scientific and Engineering Academy and Society. All rights reserved.
dc.description.abstractCurrently, certain maritime assets face the challenge of optimizing their performance despite limited resources. They aim to minimize intervention actions on equipment while maintaining safety standards and acceptable performance levels. Ships, which are not yet autonomous, serve as maritime assets responsible for transporting personnel and systems. Keeping these ships operating at a high level of performance is crucial to ensuring the safety of both materials and personnel. This not only prevents damage to the ships but also reduces the risk of injuries to personnel and sea pollution. Organizations, the scientific community, and stakeholders have been actively developing advanced systems to monitor data from ship equipment within the scope of maintenance management. These efforts help prevent breakdowns and provide real-time information about the equipment's condition. These systems use various techniques for condition monitoring, including algorithms, statistical equations, and other methodologies applied to the collected data. In this study, Fuzzy Logic will be applied to data from selected equipment. Specifically, an air compressor from an ocean patrol vessel has been chosen for the case study. This air compressor is essential for Navy ships and has been selected by the Organization's Maintenance Management Centre to monitor working hours and operational status.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent1996434
dc.identifier.doi10.37394/23207.2024.21.211
dc.identifier.issn1109-9526
dc.identifier.otherPURE: 111626303
dc.identifier.otherPURE UUID: c9906749-10f7-44f9-b0fb-1940a69da765
dc.identifier.otherScopus: 85217773411
dc.identifier.otherORCID: /0000-0003-4637-0755/work/180982101
dc.identifier.urihttp://hdl.handle.net/10362/181437
dc.identifier.urlhttps://www.scopus.com/pages/publications/85217773411
dc.language.isoeng
dc.peerreviewedyes
dc.subjectair compressor, failure categorization
dc.subjectdecision process
dc.subjectFuzzy logic
dc.subjectmaintenance management
dc.subjectrisk-based maintenance
dc.subjectEconomics and Econometrics
dc.subjectStrategy and Management
dc.subjectOrganizational Behavior and Human Resource Management
dc.subjectMarketing
dc.titleDynamic Maintenance based on Fuzzy Logicen
dc.typejournal article
degois.publication.firstPage2578
degois.publication.lastPage2590
degois.publication.titleWseas Transactions On Business And Economics
degois.publication.volume21
dspace.entity.typePublication
rcaap.rightsopenAccess

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