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

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dc.contributor.author Aretakis, N en
dc.contributor.author Roumeliotis, I en
dc.contributor.author Mathioudakis, K en
dc.date.accessioned 2014-03-01T02:52:44Z
dc.date.available 2014-03-01T02:52:44Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36028
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-82055190160&partnerID=40&md5=532fe213fdae1f868ebd340a885dacff 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 Compressors en
dc.subject.other Electric fault currents en
dc.subject.other Machine design en
dc.subject.other Marine engines en
dc.title Performance model ""zooming"" for in-depth component fault diagnosis en
heal.type conferenceItem en
heal.publicationDate 2010 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 modelling 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 1-D model based on the ""stage stacking"" approach is used to ""zoom"" into the compressors, supporting a 0-D 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 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. Copyright © 2010 by ASME. en
heal.journalName Proceedings of the ASME Turbo Expo en
dc.identifier.volume 3 en
dc.identifier.spage 307 en
dc.identifier.epage 317 en

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