Performance model ""zooming"" for in-depth component fault diagnosis

Aretakis, N; Roumeliotis, I; Mathioudakis, K

dc.contributor.author	Aretakis, N	en
dc.contributor.author	Roumeliotis, I	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T01:36:37Z
dc.date.available	2014-03-01T01:36:37Z
dc.date.issued	2011	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21364
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	1-D models	en
dc.subject.other	Component faults	en
dc.subject.other	Component model	en
dc.subject.other	Compressor performance	en
dc.subject.other	Current performance	en
dc.subject.other	Diagnostic engines	en
dc.subject.other	Diagnostic methods	en
dc.subject.other	Empirical knowledge	en
dc.subject.other	Engine components	en
dc.subject.other	Engine models	en
dc.subject.other	Fault identifications	en
dc.subject.other	Gas path components	en
dc.subject.other	Measurement data	en
dc.subject.other	Multistage compressor	en
dc.subject.other	Performance Model	en
dc.subject.other	Stage stacking	en
dc.subject.other	Electric fault currents	en
dc.subject.other	Machine design	en
dc.subject.other	Compressors	en
dc.title	Performance model ""zooming"" for in-depth component fault diagnosis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.4002042	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.4002042	en
heal.identifier.secondary	031602	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	A method giving the possibility for a more detailed gas path component fault diagnosis by exploiting the ""zooming"" feature of current performance modeling techniques is presented. A diagnostic engine performance model is the main tool that points to the faulty engine component. A diagnostic component model is then used to identify the fault. The method is demonstrated on the case of compressor faults. A 1D model based on the ""stage stacking"" approach is used to ""zoom"" into the compressors, supporting a 0D engine model. A first level diagnosis determines the deviation of overall compressor performance parameters while zooming calculations allow a localization of the faulty stages of a multistage compressor. The possibility to derive more detailed information with no additional measurement data is established by the incorporation of empirical knowledge on the type of faults that are usually encountered in practice. Although the approach is based on known individual diagnostic methods, it is demonstrated that the integrated formulation provides not only higher effectiveness but also additional fault identification capabilities. © 2011 American Society of Mechanical Engineers.	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.4002042	en
dc.identifier.isi	ISI:000284275500004	en
dc.identifier.volume	133	en
dc.identifier.issue	3	en