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Failure risk indicators for a maintenance model based on observable life of industrial components with an application to wind turbines
dc.contributor.author | Andrade Vieira, Rodrigo José | es-ES |
dc.contributor.author | Sanz Bobi, Miguel Ángel | es-ES |
dc.date.accessioned | 2016-01-15T11:16:15Z | |
dc.date.available | 2016-01-15T11:16:15Z | |
dc.date.issued | 2013-09-01 | es_ES |
dc.identifier.issn | 0018-9529 | es_ES |
dc.identifier.uri | https:doi.org10.1109TR.2013.2273041 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | This paper presents a new method able to estimate the health condition of components in a wind turbine based on the on-line information collected about their observable lives. The proposed method uses the information coming in real-time to characterize risk indicators for failure modes of the main components of a wind turbine operating under different normal conditions. The estimation of these risk indicators is based on normal behaviour models previously fitted with real data about the typical life of a component carrying out its functions within its own environment. The maintenance plan applied to the components of a wind turbine can be dynamically rescheduled according to the observed values of the risk indicators in a component using the resources that are really needed. Two approaches are presented to determine thresholds for alerting about risky health conditions: a maximum limit that the risk indicator should not overpass according to its life condition, and technical and economical feasibility. These approaches are the main foundations for a new maintenance model able to integrate in a natural way different information coming from the operation and maintenance of a component, and so capable of maximising the lifespan of the asset. Some real examples of the application of these new concepts in components of a wind turbine will be described. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.source | Revista: IEEE Transactions on Reliability, Periodo: 1, Volumen: online, Número: 3, Página inicial: 569, Página final: 582 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Failure risk indicators for a maintenance model based on observable life of industrial components with an application to wind turbines | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | Anomaly detection, component life monitoring, diagnosis, failure mode risk indicator, maintenance, normal behaviour models, wind turbine. | en-GB |
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