Methodology for the design of automated gas turbine diagnostic systems

Loukis, E; Mathioudakis, K; Papailiou, K

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