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The use of probabilistic reasoning to improve least squares based gas path diagnostics

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dc.contributor.author Romessis, C en
dc.contributor.author Kamboukos, Ph en
dc.contributor.author Mathioudakis, K en
dc.date.accessioned 2014-03-01T01:27:27Z
dc.date.available 2014-03-01T01:27:27Z
dc.date.issued 2007 en
dc.identifier.issn 0742-4795 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18453
dc.subject.classification Engineering, Mechanical en
dc.subject.other Failure analysis en
dc.subject.other Least squares approximations en
dc.subject.other Probability en
dc.subject.other Statistical methods en
dc.subject.other Gas path diagnostics en
dc.subject.other Lesser number en
dc.subject.other Jet engines en
dc.subject.other Failure analysis en
dc.subject.other Jet engines en
dc.subject.other Least squares approximations en
dc.subject.other Probability en
dc.subject.other Statistical methods en
dc.title The use of probabilistic reasoning to improve least squares based gas path diagnostics en
heal.type journalArticle en
heal.identifier.primary 10.1115/1.2436548 en
heal.identifier.secondary http://dx.doi.org/10.1115/1.2436548 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract A method is proposed to support least square type of methods for deriving health parameters from a small number of independent gas path measurements. The method derives statistical information using sets of solutions derived from a number of data records, to produce sets of candidate solutions with a lesser number of parameters. These sets can then be processed to derive an accurate component fault diagnosis. It could thus be classified as a new type of ""concentrator"" approach, which is shown to be more effective than previously existing schemes. The method's effectiveness is demonstrated by application to a number of typical jet engine component faults. Copyright © 2007 by ASME. en
heal.publisher ASME-AMER SOC MECHANICAL ENG en
heal.journalName Journal of Engineering for Gas Turbines and Power en
dc.identifier.doi 10.1115/1.2436548 en
dc.identifier.isi ISI:000250352700011 en
dc.identifier.volume 129 en
dc.identifier.issue 4 en
dc.identifier.spage 970 en
dc.identifier.epage 976 en


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