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Improving the FMEA method to failure risk assessment of transformers: a case study in Tehran electric power distribution transformers

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
dc.contributor.authorShafei, Atefeh Pour
dc.contributor.authorRezaei, Alireza
dc.contributor.authorSilva, J. Fernando A.
dc.contributor.authorMonteiro, J.
dc.contributor.authorMonteiro, Joaquim
dc.date.accessioned2026-09-24T11:16:06Z
dc.date.available2026-09-24T11:16:06Z
dc.date.issued2024
dc.description.abstractDistribution transformers play a pivotal role in power networks, serving as critical assets whose failure can lead to substantial expenses for replacement or repair. This study employs an improved Failure Modes and Effects Analysis (FMEA) method, utilizing transformer failures within the Tehran Electric Power Distribution Company over a decade. The Risk Priority Number (RPN) criterion assesses the failure probability associated with various failure modes for quantization within the FMEA method. Risk prioritization is determined through the RPN formulation. This paper proposes new improvements in FMEA, including an expert-based weighting method applied to the weighted RPN's sub-parameters to enhance precision and calculate RPN values based on the age group of each transformer. Subsequently, strategic corrective actions are proposed and implemented to mitigate the risk of transformer failures in the upcoming year. The culmination of this case study results in improved prediction capabilities and more effective failure prevention strategies for the company's transformers, facilitating purposeful asset management.eng
dc.identifier.citationShafei, A. P., Rezaei, A., Silva, J. F. A., & Monteiro, J. (2024). Improving the FMEA method to failure risk assessment of transformers: A case study in Tehran electric power distribution transformers. In 2024 IEEE International Conference on Power and Energy (PECon) (pp. 132-139). IEEE. https://doi.org/10.1109/PECon62060.2024.10827011
dc.identifier.doi10.1109/PECon62060.2024.10827011
dc.identifier.urihttp://hdl.handle.net/10400.21/23193
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/10827011
dc.rights.uriN/A
dc.subjectElectric potential
dc.subjectQuantization (signal)
dc.subjectPrevention and mitigation
dc.subjectCompanies
dc.subjectElectrical power distribution
dc.subjectMaintenance engineering
dc.subjectTransformers
dc.subjectMaintenance
dc.subjectAsset management
dc.subjectSecurity
dc.subjectTransformer
dc.subjectFailure Mode
dc.subjectPreventive Maintenance (PM)
dc.subjectFailure Modes and Effects Analysis (FMEA)
dc.subjectRisk Priority Number (RPN)
dc.titleImproving the FMEA method to failure risk assessment of transformers: a case study in Tehran electric power distribution transformerseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/50021/2020
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.conferenceDate2024
oaire.citation.conferencePlaceMalásia
oaire.citation.title2024 IEEE International Conference on Power and Energy (PECon)
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMonteiro
person.givenNameJoaquim
person.identifier1017446
person.identifier.ciencia-id4916-EA4B-17D4
person.identifier.orcid0000-0003-1930-9123
person.identifier.ridJ-8903-2013
person.identifier.scopus-author-id56582664700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationaf7c0e5b-adc6-467f-b817-97fbf260f102
relation.isAuthorOfPublication.latestForDiscoveryaf7c0e5b-adc6-467f-b817-97fbf260f102
relation.isProjectOfPublication1f3e7ad3-87bb-4203-919b-53592c18fcea
relation.isProjectOfPublication.latestForDiscovery1f3e7ad3-87bb-4203-919b-53592c18fcea

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