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Acoustic emission and signal processing for fault detection and location in composite materials

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dc.contributor.author Gómez Muñoz, Carlos Quiterio
dc.contributor.author Ruiz de la Hermosa González-Carrato, Raúl
dc.contributor.author García Márquez, Fausto Pedro
dc.date.accessioned 2016-04-07T10:07:39Z
dc.date.available 2016-04-07T10:07:39Z
dc.date.issued 2015-11-01
dc.identifier.citation Global Cleaner Production & Sustainable Consumption Conference es_ES
dc.identifier.uri http://hdl.handle.net/10578/8679
dc.description.abstract The renewable energy industry is in a constant improvement in order to compete and cover any evolving opportunity presented. Nowadays one of those remarkable competitive advantages is focused on maintenance management and terms as operating and maintenance costs, availability, reliability, safety, lifetime, etc. The objectives of this paper are focused on the blades of a wind turbine. A structural health monitoring study is presented, that starts with the collection and analysis of data coming from different non-destructive tests. Signals from acoustic emissions are studied by a novel signal processing approach to detect cracks on the surface of the blades. The case study proposes a new localization method using macro-fibre composite sensors and actuators. The monitoring system uses three sensors strategically located on the blade section. Among the main difficulties involved in this first approach, the modal separation of the wave is taken into account for its importance when drawing conclusions concerning the crack. This effect is the result of the blade breakdown, producing different signals at multiple frequencies. Another drawback is associated to the direction of the fibres in the composite material. This is known as slowness profile, a function depending on the propagation speed. On the other hand, the main novelty of the approach presented is that it is able to predict the failure. In addition, it can be considered an accurate analysis as the solution will be always a single point obtained from a graphical method, i.e. the location of the crack can be detected with precision. The results are also checked quantitatively using nonlinear equations. es_ES
dc.format application/pdf es_ES
dc.language.iso en es_ES
dc.publisher Elsevier es_ES
dc.rights info:eu-repo/semantics/openAccess es_ES
dc.subject Acoustic emission es_ES
dc.subject Wind turbine es_ES
dc.subject Sstructural health monitoring es_ES
dc.subject Macro-fibre composite es_ES
dc.title Acoustic emission and signal processing for fault detection and location in composite materials es_ES
dc.type info:eu-repo/semantics/conferenceObject es_ES


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