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dc.contributor.authorCatelani, Marcantonio
dc.contributor.authorCiani, Lorenzo
dc.contributor.authorGalar, Diego
dc.contributor.authorPatrizi, Gabriele
dc.date.accessioned2020-03-31T13:51:42Z
dc.date.available2020-03-31T13:51:42Z
dc.date.issued2020
dc.identifier.citationCatelani, Marcantonio, Lorenzo Ciani, Diego Galar, and Gabriele Patrizi. “Risk Assessment of a Wind Turbine: A New FMECA-Based Tool With RPN Threshold Estimation.” IEEE Access 8 (2020): 20181–20190. doi:10.1109/access.2020.2968812.en
dc.identifier.issn2169-3536en
dc.identifier.urihttp://hdl.handle.net/11556/898
dc.description.abstractA wind turbine is a complex system used to convert the kinetic energy of the wind into electrical energy. During the turbine design phase, a risk assessment is mandatory to reduce the machine downtime and the Operation & Maintenance cost and to ensure service continuity. This paper proposes a procedure based on Failure Modes, Effects, and Criticality Analysis to take into account every possible criticality that could lead to a turbine shutdown. Currently, a standard procedure to be applied for evaluation of the risk priority number threshold is still not available. Trying to fill this need, this paper proposes a new approach for the Risk Priority Number (RPN) prioritization based on a statistical analysis and compares the proposed method with the only three quantitative prioritization techniques found in literature. The proposed procedure was applied to the electrical and electronic components included in a Spanish 2 MW on-shore wind turbine.en
dc.language.isoengen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleRisk Assessment of a Wind Turbine: A New FMECA-Based Tool With RPN Threshold Estimationen
dc.typejournal articleen
dc.identifier.doi10.1109/ACCESS.2020.2968812en
dc.rights.accessRightsopen accessen
dc.subject.keywordsReliability engineeringen
dc.subject.keywordsFailure analysisen
dc.subject.keywordsRisk analysisen
dc.subject.keywordsFault detectionen
dc.subject.keywordsWind energyen
dc.journal.titleIEEE Accessen
dc.page.final20190en
dc.page.initial20181en
dc.volume.number8en


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