Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement

dc.coverageDOI: 10.3390/s24061733
dc.creatorMuxica, Diego
dc.creatorRivera, Sebastian
dc.creatorOrchard, Marcos E.
dc.creatorAhumada, Constanza
dc.creatorJaramillo, Francisco
dc.creatorBravo, Felipe
dc.creatorGutiérrez, José M.
dc.creatorAstroza, Rodrigo
dc.date2024
dc.date.accessioned2025-11-18T19:43:04Z
dc.date.available2025-11-18T19:43:04Z
dc.description<p>This paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them operating in harsh weather conditions in the far south of Chile. The system recorded the acceleration response of the blades in the flapwise and edgewise directions, data that could be used for extracting the dynamic characteristics of the blades, information useful for damage diagnosis and prognosis. The proposed sensor system demonstrated reliable data acquisition and transmission from wind turbines in remote locations, proving the ability to create a fully autonomous system capable of recording data for monitoring and evaluating the state of health of wind turbine blades for extended periods without human intervention. The data collected by the sensor system presented in this study can serve as a foundation for developing vibration-based strategies for real-time structural health monitoring.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/ebf77fcd-c1de-4f7d-b9e0-0558d37b3ac9
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/52674
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcevol.24 (2024) nr.6 p.1-14
dc.subjectaccelerometer-based sensor networks
dc.subjectcondition monitoring
dc.subjectdata acquisition
dc.subjectmodal analysis
dc.subjectstructural health monitoring
dc.subjectwind turbines
dc.subjectSDG 3 - Good Health and Well-being
dc.titleAutonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurementeng
dc.typeArticleeng
dc.typeArtículospa
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