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Component stress evaluation in an electrical power distribution system using neural networks
dc.contributor.author | Sanz Bobi, Miguel Ángel | es-ES |
dc.contributor.author | Andrade Vieira, Rodrigo José | es-ES |
dc.contributor.author | Brighenti, Chiara | es-ES |
dc.contributor.author | Palacios Hielscher, Rafael | es-ES |
dc.contributor.author | Nicolau, Guillermo | es-ES |
dc.contributor.author | Ferrarons, Pere | es-ES |
dc.contributor.author | Vieira Junior, Petronio | es-ES |
dc.date.accessioned | 2016-01-15T11:27:23Z | |
dc.date.available | 2016-01-15T11:27:23Z | |
dc.date.issued | 2010-06-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/11531/5606 | |
dc.description | Capítulos en libros | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | This paper presents a procedure that permits a qualitative evaluation of the stress in components of an electric power distribution system. The core of this procedure is the development of a set of models based on neural networks that are able to represent and to predict the normal behavior expected of the components under different working conditions. The paper includes the application to the characterization of the thermal behavior of power transformers and the operation time of circuit breakers.. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.publisher | Sin editorial (Córdoba, España) | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.source | Libro: 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2010, Página inicial: 21-30, Página final: | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Component stress evaluation in an electrical power distribution system using neural networks | es_ES |
dc.type | info:eu-repo/semantics/bookPart | 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 | diagnosis - multi-layer perceptron - normal behavior models - self-organised map - anomaly detection - component stress | en-GB |
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