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dc.contributor.authorGarcía Márquez, Fausto Pedro
dc.contributor.authorGómez Muñoz, Carlos Quiterio
dc.date.accessioned2017-04-19T10:36:32Z
dc.date.available2017-04-19T10:36:32Z
dc.date.issued2016-01-12
dc.identifier.citationEnergieses_ES
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10578/13695
dc.description.abstractThe renewable energy industry is undergoing continuous improvement and development worldwide, wind energy being one of the most relevant renewable energies. This industry requires high levels of reliability, availability, maintainability and safety (RAMS) for wind turbines. The blades are critical components in wind turbines. The objective of this research work is focused on the fault detection and diagnosis (FDD) of the wind turbine blades. The FDD approach is composed of a robust condition monitoring system (CMS) and a novel signal processing method. CMS collects and analyses the data from different non-destructive tests based on acoustic emission. The acoustic emission signals are collected applying macro-fiber composite (MFC) sensors to detect and locate cracks on the surface of the blades. Three MFC sensors are set in a section of a wind turbine blade. The acoustic emission signals are generated by breaking a pencil lead in the blade surface.This method is used to simulate the acoustic emission due to a breakdown of the composite fibers. The breakdown generates a set of mechanical waves that are collected by the MFC sensors. A graphical method is employed to obtain a system of non-linear equations that will be used for locating the emission source. This work demonstrates that a fiber breakage in the wind turbine blade can be detected and located by using only three low cost sensors. It allows the detection of potential failures at an early stages, and it can also reduce corrective maintenance tasks and downtimes and increase the RAMS of the wind turbine.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectFault detection and diagnosises_ES
dc.subjectAcoustic emissiones_ES
dc.subjectWind turbineses_ES
dc.subjectMacro-fiber compositeses_ES
dc.subjectNon destructive testinges_ES
dc.titleA New Fault Location Approach for Acoustic Emission Techniques in Wind Turbineses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.DOI10.3390/en9010040


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