Enhanced fault localization using probabilistic fusion with gas path analysis algorithms

Kyriazis, A; Mathioudakis, K

dc.contributor.author	Kyriazis, A	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T02:45:15Z
dc.date.available	2014-03-01T02:45:15Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32237
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-69949120964&partnerID=40&md5=21da940d6cc0204d42d848c211a0c5c1	en
dc.relation.uri	http://www.ltt.mech.ntua.gr/paperfull/GT2008-51079.pdf	en
dc.subject	Fault Identification	en
dc.subject	Fault Localization	en
dc.subject	Gas Turbine	en
dc.subject	Path Analysis	en
dc.subject.other	Component performance deviation	en
dc.subject.other	Diagnostic problem	en
dc.subject.other	Engine components	en
dc.subject.other	Fault identifications	en
dc.subject.other	Fault localization	en
dc.subject.other	Fault probabilities	en
dc.subject.other	Gas path	en
dc.subject.other	Gas path analysis	en
dc.subject.other	Two-stage process	en
dc.subject.other	Regression analysis	en
dc.subject.other	Set theory	en
dc.subject.other	Gas turbines	en
dc.title	Enhanced fault localization using probabilistic fusion with gas path analysis algorithms	en
heal.type	conferenceItem	en
heal.publicationDate	2008	en
heal.abstract	A method for gas turbine fault identification from gas path data, in situations with a limited number of measurements, is presented. The method consists of a two stage process: (a) localization of the component or group of components where the fault is located and (b) fault identification, by determining the precise location and magnitude of component performance deviations. The paper focuses on methods that allow improved localization of the faulty components. Gas path analysis algorithms are applied to diagnostic sets comprising different combinations of engine components. The results are used to derive fault probabilities, which are then fused to derive a conclusion as to the location of a fault. Once the set of possible faulty components is determined, a well defined diagnostic problem is formulated and the faulty parameters are determined by means of a suitable algorithm. It is demonstrated that the method has an improved effectiveness when compared to previous GPA based methods. Copyright © 2008 by ASME.	en
heal.journalName	Proceedings of the ASME Turbo Expo	en
dc.identifier.volume	2	en
dc.identifier.spage	239	en
dc.identifier.epage	247	en