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dc.contributor.authorCasteleiro Roca, José L.
dc.contributor.authorQuintián Pardo, Héctor
dc.contributor.authorCalvo Rolle, José L.
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorMeizoso López, M.Carmen
dc.contributor.authorPiñón Pazos, Andrés J.
dc.date.accessioned2017-09-05T10:59:23Z
dc.date.available2017-09-05T10:59:23Z
dc.date.issued2016
dc.identifier.citationJournal of Applied Logic. Volumen 17, pp. 36-47. Elsevier.
dc.identifier.issn1570-8683
dc.identifier.urihttp://hdl.handle.net/10366/134291
dc.description.abstractThe heat pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is an element with high probability of failure due to the fact that it is an outside construction and also due to its size. In the present study, a novel intelligent system was designed to detect faults on this type of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements of one year. It was based on classification techniques with the aim of detecting failures in real time. Then, the model was validated and verified over the building; it obtained good results in all the operating conditions ranges.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleAn intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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