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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.date.accessioned2019-07-02T10:00:49Z
dc.date.available2019-07-02T10:00:49Z
dc.date.issued2019-09
dc.identifier.citationGalarza-Urigoitia, Nekane, Benjamín Rubio-García, Jaime Gascón-Álvarez, Gabriel Aznar-Lapuente, Jorge Olite-Biurrun, Alberto López-Germán, and Jokin Rubio-Botía. “Predictive Maintenance of Wind Turbine Low-Speed Shafts Based on an Autonomous Ultrasonic System.” Engineering Failure Analysis 103 (September 2019): 481–504. doi:10.1016/j.engfailanal.2019.04.048.en
dc.identifier.issn1350-6307en
dc.identifier.urihttp://hdl.handle.net/11556/733
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.sponsorshipThis research did not receive any specific grant from funding agencies in the public, commercial, or non-for-profit sectorsen
dc.language.isoengen
dc.publisherElsevier Ltden
dc.titlePredictive maintenance of wind turbine low-speed shafts based on an autonomous ultrasonic systemen
dc.typearticleen
dc.identifier.doi10.1016/j.engfailanal.2019.04.048en
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsDamage toleranceen
dc.subject.keywordsFatigue failureen
dc.subject.keywordsLife extensionen
dc.subject.keywordsNon-destructive testingen
dc.subject.keywordsCondition based maintenanceen
dc.journal.titleEngineering Failure Analysisen
dc.page.final504en
dc.page.initial481en
dc.volume.number103en


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