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

Romessis, C; Kamboukos, Ph; Mathioudakis, K

dc.contributor.author	Romessis, C	en
dc.contributor.author	Kamboukos, Ph	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T02:50:55Z
dc.date.available	2014-03-01T02:50:55Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35204
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33750843175&partnerID=40&md5=13340ea83dbca073fcba393ebe767aee	en
dc.subject.other	Jet engines	en
dc.subject.other	Least squares approximations	en
dc.subject.other	Machine components	en
dc.subject.other	Statistical methods	en
dc.subject.other	Fault diagnosis	en
dc.subject.other	Gas path measurements	en
dc.subject.other	Health parameters	en
dc.subject.other	Probabilistic reasoning	en
dc.subject.other	Probabilistic logics	en
dc.title	The use of probabilistic reasoning to improve least squares based gas path diagnostics	en
heal.type	conferenceItem	en
heal.publicationDate	2006	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 © 2006 by ASME.	en
heal.journalName	Proceedings of the ASME Turbo Expo	en
dc.identifier.volume	2	en
dc.identifier.spage	681	en
dc.identifier.epage	689	en