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Methodology for the design of automated gas turbine diagnostic systems

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dc.contributor.author Loukis, E en
dc.contributor.author Mathioudakis, K en
dc.contributor.author Papailiou, K en
dc.date.accessioned 2014-03-01T02:48:11Z
dc.date.available 2014-03-01T02:48:11Z
dc.date.issued 1993 en
dc.identifier.issn 04021215 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33618
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0027239163&partnerID=40&md5=c89e028d9a43c90e00db47f549d09132 en
dc.subject.other Failure analysis en
dc.subject.other Monitoring en
dc.subject.other Engine condition monitoring en
dc.subject.other Fault diagnosis methodologies en
dc.subject.other Gas turbine diagnostic systems en
dc.subject.other Gas turbines en
dc.title Methodology for the design of automated gas turbine diagnostic systems en
heal.type conferenceItem en
heal.publicationDate 1993 en
heal.abstract A methodology for the design of automated diagnostic systems for Gas Turbines is presented. The first stage of the proposed methodology consists in an initial selection of instruments and measuring positions on the engine, based on basic knowledge of the engine itself and previous experience, as well as modeling capabilities of the phenomena happening in it. It is followed by a stage of ″learning″ experiments. One purpose of these experiments is to provide measurement data, on which a final selection of instruments will be based. en
heal.publisher Publ by ASME, New York, NY, United States en
heal.journalName American Society of Mechanical Engineers (Paper) en
dc.identifier.spage 1 en
dc.identifier.epage 11 en


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