Predictive maintenance of wind turbine low-speed shafts based on an autonomous ultrasonic system

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dc.contributor.authorGalarza-Urigoitia, Nekane
dc.contributor.authorRubio-García, Benjamín
dc.contributor.authorGascón-Álvarez, Jaime
dc.contributor.authorAznar-Lapuente, Gabriel
dc.contributor.authorOlite-Biurrun, Jorge
dc.contributor.authorLópez-Germán, Alberto
dc.contributor.authorRubio-Botía, Jokin
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionSMART_MON
dc.contributor.institutionComportamiento y Fiabilidad
dc.contributor.institutionINDUSTRY_THINGS
dc.date.issued2019-09
dc.descriptionPublisher Copyright: © 2019 Elsevier Ltd
dc.description.abstractLow-speed shafts breakage in wind turbines (WT) supposes, besides an elevated repair cost, an unattainable risk for workers integrity due to the induced rotor fall. Based on a Root Cause Analysis (RCA) an autonomous ultrasonic monitoring system has been developed with the aim of extending the shaft useful life safely beyond the 50% obtained when manual ultrasonic inspections are used. This system consists of ad-hoc electronics, a specific firmware that includes the detection and assessment algorithm, and an annular array of transducers attached to the shaft by a specific mechanical holder. To estimate the transducers type, quantity and optimum location and to establish references, healthy shafts were analyzed and tests specimens with artificial defects were manufactured and studied reproducing the critical crack sizes estimated in the RCA. The firmware controls the entire system and is the responsible for autonomous diagnostics that launches preliminary alerts when detecting non-critical cracks. The system creates an “imminent failure” alert when the shaft has consumed up to 96% of its useful life. The system has been tested in real WTs with positive results, omitting no-relevant cracks and even detecting certain type of cracks not detected by manual inspections.en
dc.description.statusPeer reviewed
dc.format.extent24
dc.format.extent5980753
dc.identifier.citationGalarza-Urigoitia , N , Rubio-García , B , Gascón-Álvarez , J , Aznar-Lapuente , G , Olite-Biurrun , J , López-Germán , A & Rubio-Botía , J 2019 , ' Predictive maintenance of wind turbine low-speed shafts based on an autonomous ultrasonic system ' , Engineering Failure Analysis , vol. 103 , pp. 481-504 . https://doi.org/10.1016/j.engfailanal.2019.04.048
dc.identifier.doi10.1016/j.engfailanal.2019.04.048
dc.identifier.issn1350-6307
dc.identifier.otherresearchoutputwizard: 11556/733
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85066154095&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofEngineering Failure Analysis
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsDamage tolerance
dc.subject.keywordsFatigue failure
dc.subject.keywordsLife extension
dc.subject.keywordsNon-destructive testing
dc.subject.keywordsCondition based maintenance
dc.subject.keywordsDamage tolerance
dc.subject.keywordsFatigue failure
dc.subject.keywordsLife extension
dc.subject.keywordsNon-destructive testing
dc.subject.keywordsCondition based maintenance
dc.subject.keywordsGeneral Materials Science
dc.subject.keywordsGeneral Engineering
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research did not receive any specific grant from funding agencies in the public, commercial, or non-for-profit sectors
dc.subject.keywordsThis research did not receive any specific grant from funding agencies in the public, commercial, or non-for-profit sectors
dc.titlePredictive maintenance of wind turbine low-speed shafts based on an autonomous ultrasonic systemen
dc.typejournal article
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