Condition monitoring of wind turbine blades and tower via an automated laser scanning system

Basit Öğe Kaydı
dc.authoridGökdel, Yiğit Dağhan/0000-0003-4634-4733
dc.authorwosidGökdel, Yiğit Dağhan/AAO-4840-2020
dc.contributor.authorDilek, Ahmet U.
dc.contributor.authorOguz, Ali D.
dc.contributor.authorSatis, Furkan
dc.contributor.authorGokdel, Yigit D.
dc.contributor.authorOzbek, Muammer
dc.date.accessioned2024-07-18T20:42:36Z
dc.date.available2024-07-18T20:42:36Z
dc.date.issued2019
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractDuring its service life, a wind turbine has to withstand very challenging loads and severe environmental factors which can cause some deteriorations and cracks on structural components. Yearly periodic controls may not be sufficient to diagnose a fault at early stages. Therefore, wind turbines are very important systems which have to be monitored continuously. This work aims at developing an automated scanning system for IR (Infrared) laser vibrometers to conduct the tests and measurements, which are required for condition monitoring, in a more accurate and efficient manner. Unlike visible green or red lasers, IR laser is reflected by most surfaces (especially by blade material) with a very high intensity without needing a preparation or surface enhancement on the target. However, IR laser cannot be guided by refracting/reflecting the beam by lenses and mirrors used by conventional laser scanners. This work proposes a new methodology which is based on mounting the laser source on a motorized platform and then rotating the platform rather than guiding the laser beam by optical systems. The tests performed by using wind turbine models show that the proposed system is capable of guiding the laser to the desired measurement points with very high precision and efficiency. The results of the analyses also show that some important dynamic characteristics of the system such as Eigenfrequencies and mode shapes can be extracted very accurately.en_US
dc.identifier.doi10.1016/j.engstruct.2019.03.065
dc.identifier.endpage34en_US
dc.identifier.issn0141-0296
dc.identifier.issn1873-7323
dc.identifier.scopus2-s2.0-85063205872en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage25en_US
dc.identifier.urihttps://doi.org/10.1016/j.engstruct.2019.03.065
dc.identifier.urihttps://hdl.handle.net/11411/7354
dc.identifier.volume189en_US
dc.identifier.wosWOS:000466827100003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofEngineering Structuresen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCondition Monitoringen_US
dc.subjectEmbedded Systemen_US
dc.subjectMotorized Platformen_US
dc.subjectScanning Laser Vibrometeren_US
dc.subjectVibration (Modal) Analysisen_US
dc.subjectModal-Analysisen_US
dc.subjectPhotogrammetryen_US
dc.subjectDynamicsen_US
dc.titleCondition monitoring of wind turbine blades and tower via an automated laser scanning systemen_US
dc.typeArticleen_US

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