Assessment of the effectiveness of gas path diagnostic schemes

Mathioudakis, K; Kamboukos, Ph

dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Kamboukos, Ph	en
dc.date.accessioned	2014-03-01T02:49:43Z
dc.date.available	2014-03-01T02:49:43Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34703
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-10244246674&partnerID=40&md5=e0524231e7293711fda69746de57d092	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer operating systems	en
dc.subject.other	Diagnosis	en
dc.subject.other	Health	en
dc.subject.other	Linear systems	en
dc.subject.other	Matrix algebra	en
dc.subject.other	Multi agent systems	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Problem solving	en
dc.subject.other	Condition number	en
dc.subject.other	Health parameters	en
dc.subject.other	Multipoint methods	en
dc.subject.other	Set points	en
dc.subject.other	Gas turbines	en
dc.title	Assessment of the effectiveness of gas path diagnostic schemes	en
heal.type	conferenceItem	en
heal.publicationDate	2004	en
heal.abstract	A variety of methods can be used for the diagnosis of faults in gas path components of gas turbines. Problems that are common for diagnostic method implementation are the choice of measured quantities, choice of health parameters and choice of operating conditions for data retrieval. The present paper introduces some general principles for evaluation of the effectiveness of different diagnostic schemes. They encompass criteria proposed in past publications, while they offer additional possibilities for assessment of diagnostic effectiveness in various situations. The method is based on the evaluation of the behavior of linear systems, which are a good approximation of the non-linear ones for small deviations and employs the concept of system condition number to formulate criteria. The determination of limits for this number for establishing system condition criteria and quantification of observability is examined, on the basis of uncertainty propagation. Sample problems evaluated are: maximizing effectiveness of individual component identification from a multiplicity of available measurements, selection of individual operating points for multi-point applications.	en
heal.journalName	Proceedings of the ASME Turbo Expo 2004	en
dc.identifier.volume	2	en
dc.identifier.spage	723	en
dc.identifier.epage	731	en