Expert fault detection and diagnosis for the refrigeration process of a hydraulic power plant

dc.contributor.authorBerrios Alvarez, Rodrigo Andres
dc.contributor.authorNuñez Retamal, Felipe Eduardo
dc.contributor.authorCipriano, Aldo
dc.contributor.authorParedes, Rodrigo
dc.date.accessioned2022-05-11T20:26:38Z
dc.date.available2022-05-11T20:26:38Z
dc.date.issued2008
dc.description.abstractIn this paper we discuss the components and design of each part of an expert system for fault detection and diagnosis in the refrigeration process of a hydraulic power station. Given a minimum group of measurements, it is possible to extract behavior patterns for the whole system. The knowledge base is obtained by simulating the dynamic behavior of the process. The expert system was designed for a 580 MW power plant called Central Pehuenche, located in Chile. The system shows a 96% of detection effectiveness under different operation conditions.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/CHICC.2008.4605618
dc.identifier.eissn2161-2927
dc.identifier.isbn978-7-900719-70-6
dc.identifier.issn1934-1768
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4605618
dc.identifier.urihttps://doi.org/10.1109/CHICC.2008.4605618
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63808
dc.information.autorucEscuela de ingeniería ; Berrios Alvarez, Rodrigo Andres ; S/I ; 131469
dc.information.autorucEscuela de ingeniería ; Nuñez Retamal, Felipe Eduardo ; S/I ; 131441
dc.information.autorucEscuela de ingeniería ; Cipriano Zamorano, Aldo ; S/I ; 99102
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final126
dc.pagina.inicio122
dc.publisherIEEE
dc.relation.ispartofChinese Control Conference (27° : 2008 : Kunming, China)
dc.rightsacceso restringido
dc.subjectExpert systems
dc.subjectSensors
dc.subjectCircuit faults
dc.subjectSensor systems
dc.subjectPower generation
dc.subjectPower transformers
dc.subjectFault detection
dc.titleExpert fault detection and diagnosis for the refrigeration process of a hydraulic power plantes_ES
dc.typecomunicación de congreso
sipa.codpersvinculados131469
sipa.codpersvinculados131441
sipa.codpersvinculados99102
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