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Dynamic Maintenance Based on Fuzzy Logic

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorLampreia Suzana
dc.contributor.authorMestre, Inês
dc.contributor.authorMorgado T. & Navas H.
dc.date.accessioned2025-12-12T14:05:01Z
dc.date.available2025-12-12T14:05:01Z
dc.date.issued2024
dc.description.abstractCurrently, certain maritime assets are confronted with the challenge of optimizing their performance, even when resources are limited. They strive to minimize intervention actions on equipment while upholding safety standards and acceptable performance levels. Ships, which are not yet autonomous, serve as maritime assets responsible for transporting personnel and systems. Maintaining these ships with high performance is imperative to ensuring the safety of both material and personnel. This not only prevents damage to the ships themselves but also mitigates the potential for personnel injuries and sea pollution. Organizations, scientific community, and stakeholders have been actively developing advanced systems to monitor data from ship equipment within the scope of maintenance management. This helps in preventing breakdowns and ensures real time knowledge about the equipment's condition. These systems employ various techniques for condition control using algorithms, statistical equations, and other methodologies on the collected data. In this investigation Fuzzy Logic will be applied to data from a selected equipment. For the case study, an air compressor from an ocean patrol vessel has been selected. This air compressor plays a crucial role on Navy ships and has been chosen by the Organization's Maintenance Management Centre for monitoring working hours and operational status.eng
dc.identifier.urihttp://hdl.handle.net/10400.26/60357
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMacise
dc.relationCINAV
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectFuzzy logic
dc.subjectmaintenance management
dc.subjectdecision process
dc.subjectair compressor
dc.titleDynamic Maintenance Based on Fuzzy Logicpor
dc.typereport
dspace.entity.typePublication
oaire.citation.endPage10
oaire.citation.startPage1
oaire.versionhttp://purl.org/coar/version/c_71e4c1898caa6e32

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