Optimal measurement and health index 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	2014-03-01T01:08:59Z
dc.date.available	2014-03-01T01:08:59Z
dc.date.issued	1992	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10775
dc.subject	Fault Diagnosis	en
dc.subject	Gas Turbine	en
dc.subject	Performance Status	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Gas Turbines - Monitoring	en
dc.subject.other	Thermodynamic Properties - Analysis	en
dc.subject.other	Turbomachinery - Deterioration	en
dc.subject.other	Adaptive Performance Modeling	en
dc.subject.other	Fault Diagnosis	en
dc.subject.other	Health Condition Estimation	en
dc.subject.other	Singular Value Decomposition	en
dc.subject.other	Gas Turbines	en
dc.title	Optimal measurement and health index selection for gas turbine performance status and fault diagnosis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.2906574	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.2906574	en
heal.language	English	en
heal.publicationDate	1992	en
heal.abstract	In this paper, we present a method for defining the health estimation parameters and the measurements that must be used when a monitoring system for an engine is being 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 that 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, thus giving an additional element of information useful for decision making. The proposed method, together with adaptive performance modeling, 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	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.2906574	en
dc.identifier.isi	ISI:A1992HT25400008	en
dc.identifier.volume	114	en
dc.identifier.issue	2	en
dc.identifier.spage	209	en
dc.identifier.epage	216	en