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dc.contributor.author
Zaldivar Sanchez, Diego Armando
dc.contributor.author
Sanchez, Angel Manuel
dc.contributor.author
Romero Quete, Andrés Arturo
dc.date.available
2023-11-28T15:59:06Z
dc.date.issued
2023-07
dc.identifier.citation
Zaldivar Sanchez, Diego Armando; Sanchez, Angel Manuel; Romero Quete, Andrés Arturo; A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets; Elsevier Science SA; Electric Power Systems Research; 220; 109374; 7-2023; 1-9
dc.identifier.issn
0378-7796
dc.identifier.uri
http://hdl.handle.net/11336/218708
dc.description.abstract
Power transformers (PT) are critical assets in power systems. Electric utilities and power companies that manage PT fleets require a large amount of information to inform decision-making processes related to acquisition, maintenance, operation, and unit availability. Processing such information poses a significant challenge, as misinterpretation could lead to incorrect decisions that compromise unit condition, ultimately impacting power system operation. Considering the above-mentioned, in this paper, a methodology for asset management on PT fleets is proposed. The first step of the methodology involves determining the technical condition of individual equipment and its strategic importance. PT units are then clustered according to related risk, and for each cluster, the status of the units and economic factors are analyzed to determine the optimal inspection strategy for condition-based maintenance. The proposed methodology was applied to a case study of a fleet of fifty-eight PT. The obtained results demonstrate the suitability of the methodology for practical application. Specifically, the methodology enables the asset manager to apply condition-based maintenance strategies effectively to PT fleets.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science SA
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
ASSET MANAGEMENT
dc.subject
CLUSTERING TECHNIQUES
dc.subject
FUZZY INFERENCE SYSTEM
dc.subject
HEALTH INDEX
dc.subject
MAINTENANCE
dc.subject
POWER TRANSFORMER
dc.subject
RISK ASSESSMENT
dc.subject.classification
Ingeniería Eléctrica y Electrónica
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-11-28T14:46:05Z
dc.journal.volume
220
dc.journal.number
109374
dc.journal.pagination
1-9
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Zaldivar Sanchez, Diego Armando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.description.fil
Fil: Sanchez, Angel Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.description.fil
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.journal.title
Electric Power Systems Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779623002638
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.epsr.2023.109374
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