Gas turbine component fault detection from a limited number of measurements

Mathioudakis, K; Kamboukos, Ph; Stamatis, A

dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Kamboukos, Ph	en
dc.contributor.author	Stamatis, A	en
dc.date.accessioned	2014-03-01T01:20:32Z
dc.date.available	2014-03-01T01:20:32Z
dc.date.issued	2004	en
dc.identifier.issn	0957-6509	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15955
dc.subject	Faults	en
dc.subject	Gas path analysis	en
dc.subject	Gas turbine diagnostics	en
dc.subject	Health parameters	en
dc.subject	Onboard	en
dc.subject	Turbofan	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Aircraft	en
dc.subject.other	Engines	en
dc.subject.other	Machine components	en
dc.subject.other	Nonlinear systems	en
dc.subject.other	Optimization	en
dc.subject.other	Engine components	en
dc.subject.other	Engine models	en
dc.subject.other	Fault diagnosis	en
dc.subject.other	Non-linear engine models	en
dc.subject.other	Gas turbines	en
dc.subject.other	aircraft	en
dc.subject.other	fault detection	en
dc.subject.other	gas turbine	en
dc.title	Gas turbine component fault detection from a limited number of measurements	en
heal.type	journalArticle	en
heal.identifier.primary	10.1243/0957650042584302	en
heal.identifier.secondary	http://dx.doi.org/10.1243/0957650042584302	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	A method for detecting faults in the components of gas turbines, based on the use of non-linear engine models and optimization techniques, is presented. The method determines deviations in mass flow capacity and efficiency of individual engine components through minimization of appropriate cost function, formulated such that measurements are matched in an optimum way. Component performance deviations are expressed through appropriate modification factors, which are used as health parameters. The modification factors are coupled to a non-linear engine performance model and can represent different health conditions of the engine. The problem of fault diagnosis is formulated as the problem of determining the values of these factors from a given set of measurement data. The novel aspect of the method presented in this paper is that it can be used to determine health factors that are less, equal or larger in number than the available performance measurements. When measurements are fewer than the parameters to be determined, solutions are derived using an approach of the maximum likelihood type. It is demonstrated than such a solution can provide successful diagnosis for the majority of fault types expected to occur in an engine. The method presented is substantiated by application to a large bypass ratio, partially mixed, turbofan, typical of the large civil aircraft engine configuration in today's aircrafts. An extensive set of component faults is studied, representing malfunctions expected to occur in practice. The method is shown to perform successfully in fault identification over this set, using a limited number of measurements representative of current onboard instrumentation. © IMechE 2004.	en
heal.publisher	PROFESSIONAL ENGINEERING PUBLISHING LTD	en
heal.journalName	Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy	en
dc.identifier.doi	10.1243/0957650042584302	en
dc.identifier.isi	ISI:000228766200006	en
dc.identifier.volume	218	en
dc.identifier.issue	8	en
dc.identifier.spage	609	en
dc.identifier.epage	618	en