Gas turbine fault identification by fusing vibration trending and gas path analysis

Kyriazis, A; Tsalavoutas, A; Mathioudakis, K; Bauer, M; Johanssen, O

dc.contributor.author	Kyriazis, A	en
dc.contributor.author	Tsalavoutas, A	en
dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Bauer, M	en
dc.contributor.author	Johanssen, O	en
dc.date.accessioned	2014-03-01T02:46:10Z
dc.date.available	2014-03-01T02:46:10Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32587
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-77953207271&partnerID=40&md5=342ba265d8a5e0040d9c9fd806e60f1e	en
dc.relation.uri	http://www.ltt.mech.ntua.gr/paperfull/GT2009-59942.pdf	en
dc.subject	Data Processing	en
dc.subject	Diagnostic Method	en
dc.subject	Fault Identification	en
dc.subject	Gas Turbine	en
dc.subject	Path Analysis	en
dc.subject.other	Certainty factors	en
dc.subject.other	Core diagnostics	en
dc.subject.other	Diagnostic decisions	en
dc.subject.other	Diagnostic problem	en
dc.subject.other	Diagnostic processing	en
dc.subject.other	Fault identifications	en
dc.subject.other	Fusion methods	en
dc.subject.other	Gas path analysis	en
dc.subject.other	Gas turbine components	en
dc.subject.other	Health parameters	en
dc.subject.other	Non-linear	en
dc.subject.other	Performance data	en
dc.subject.other	Process levels	en
dc.subject.other	Data processing	en
dc.subject.other	Gas turbines	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Regression analysis	en
dc.subject.other	Turbomachinery	en
dc.subject.other	Vibration measurement	en
dc.subject.other	Vibration analysis	en
dc.title	Gas turbine fault identification by fusing vibration trending and gas path analysis	en
heal.type	conferenceItem	en
heal.publicationDate	2009	en
heal.abstract	A fusion method that utilizes performance data and vibration measurements for gas turbine component fault identification is presented. The proposed method operates during the diagnostic processing of available data (process level) and adopts the principles of certainty factors theory. Both performance and vibration measurements are analyzed separately, in a first step, and their results are transformed into a common form of probabilities. These forms are interweaved, in order to derive a set of possible faulty components prior to deriving a final diagnostic decision. Then, in the second step, a new diagnostic problem is formulated and a final set of faulty health parameters are defined with higher confidence. In the proposed method the non-linear gas path analysis is the core diagnostic method, while information provided by vibration measurements trends is used to narrow the domain of unknown health parameters and lead to a well defined solution. It is shown that the presented technique combines effectively different sources of information, by interpreting them into a common form and may lead to improved and safer diagnosis. Copyright © 2009 by ASME.	en
heal.journalName	Proceedings of the ASME Turbo Expo	en
dc.identifier.volume	1	en
dc.identifier.spage	687	en
dc.identifier.epage	696	en