Blade fault recognition based on signal processing and adaptive fluid dynamic modeling

Stamatis, A; Aretakis, N; Mathioudakis, K

dc.contributor.author	Stamatis, A	en
dc.contributor.author	Aretakis, N	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T01:13:37Z
dc.date.available	2014-03-01T01:13:37Z
dc.date.issued	1998	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12609
dc.subject	Fluid Dynamics	en
dc.subject	Signal Processing	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	TURBINE	en
dc.title	Blade fault recognition based on signal processing and adaptive fluid dynamic modeling	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.2818181	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.2818181	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	An approach for identification of faults in blades of a gas turbine, based on physical modelling, is presented. A measured quantity is used as an input, and the deformed blading configuration is produced as an output. This is achieved without using any kind of ""signature,"" as is customary in diagnostic procedures for this kind of faults. A fluid dynamic model is used in a manner similar to what is known as ""inverse design methods"": the solid boundaries that produce a certain flow field are calculated by prescribing this flow field. In the present case, a signal, corresponding to the pressure variation on the blade-to-blade plane, is measured. The blade cascade geometry that has produced this signal is then produced by the method. In the paper, the method is described, and applications to test cases are presented. The test cases include theoretically produced faults as well as experimental cases where actual measurement data are shown to produce the geometrical deformations that existed in the test engine.	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.2818181	en
dc.identifier.isi	ISI:000075393000018	en
dc.identifier.volume	120	en
dc.identifier.issue	3	en
dc.identifier.spage	543	en
dc.identifier.epage	549	en