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Procedure for automated gas turbine blade fault identification based on spectral pattern analysis

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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 2014-03-01T02:48:04Z
dc.date.available 2014-03-01T02:48:04Z
dc.date.issued 1991 en
dc.identifier.issn 04021215 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33510
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0025754504&partnerID=40&md5=46440c0e7ac19b432711976d2e9431e8 en
dc.subject.other Expert Systems - Applications en
dc.subject.other Signal Processing en
dc.subject.other Fast Response Measurement en
dc.subject.other Fault Identification en
dc.subject.other Spectral Pattern Analysis en
dc.subject.other Gas Turbines en
dc.title Procedure for automated gas turbine blade fault identification based on spectral pattern analysis en
heal.type conferenceItem en
heal.publicationDate 1991 en
heal.abstract A method for diagnosing the existence and the kind of faults in blades of a Gas Turbine compressor is presented in the present paper. The innovative feature of this method is that it performs the diagnosis automatically, namely it gives a direct answer to whether a fault exists and what fault it is, without requiring the interpretation of results by a human expert. This is achieved by the derivation of the values of discriminants calculated from spectral patterns of fast response measurement data. A decision about the corresponding Engine status is then derived according to the values of these discriminants. In the paper, the procedure of examining the suitability of particular parameter discriminants and the constitution of a related knowledge base in described. The way of derivation of decisions by a computer, on what engine condition a particular measurement data set corresponds, is then described. en
heal.publisher Publ by ASME, New York, NY, United States en
heal.journalName American Society of Mechanical Engineers (Paper) en


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