Optimal measurements and health indices selection for gas turbine performance status and fault diagnosis

Stamatis, A; Mathioudakis, K; Papailiou, K

dc.contributor.author	Stamatis, A	en
dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Papailiou, K	en
dc.date.accessioned	2014-03-01T02:48:03Z
dc.date.available	2014-03-01T02:48:03Z
dc.date.issued	1991	en
dc.identifier.issn	04021215	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33508
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0025798323&partnerID=40&md5=f9dea6423dc6fbf099d71ba39208ae9f	en
dc.subject.other	Expert Systems	en
dc.subject.other	Mathematical Models	en
dc.subject.other	Risk Studies - Health Risks	en
dc.subject.other	Fault Diagnosis	en
dc.subject.other	Single Value Decomposition	en
dc.subject.other	Gas Turbines	en
dc.title	Optimal measurements and health indices selection for gas turbine performance status and fault diagnosis	en
heal.type	conferenceItem	en
heal.publicationDate	1991	en
heal.abstract	In this paper, we present a method for defining the health estimation parameters and the measurements which must be used, when a monitoring system of an Engine has to be set-up. The particular engine layout, the available measuring instruments and the accuracy by which data can be collected are the factors taken into account. The particular health condition estimation factors, which have to be used, are defined as a function of this information and the desired depth of fault identification. A fast selection procedure based on the method of Singular Value Decomposition is presented. The uncertainty in the estimations is also derived, giving thus an additional element of information useful for decision making. The proposed method together with Adaptive Performance Modelling provides a self sufficient tool, which can be applied for setting up and subsequent exploitation of a health Monitoring Expert System. The advantage of the procedure is that it provides a frame of application, allowing quick implementation in a new engine of interest, other than the ones previously considered.	en
heal.publisher	Publ by ASME, New York, NY, United States	en
heal.journalName	American Society of Mechanical Engineers (Paper)	en