Combining classification techniques with Kalman filters for aircraft engine diagnostics

Dewallef, P; Romessis, C; Leonard, O; Mathioudakis, K

dc.contributor.author	Dewallef, P	en
dc.contributor.author	Romessis, C	en
dc.contributor.author	Leonard, O	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T01:23:42Z
dc.date.available	2014-03-01T01:23:42Z
dc.date.issued	2006	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17103
dc.subject	kalman filter	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Algorithms	en
dc.subject.other	Estimation	en
dc.subject.other	Kalman filtering	en
dc.subject.other	Statistical methods	en
dc.subject.other	Turbofan engines	en
dc.subject.other	Bayesian Belief Network (BBN)	en
dc.subject.other	Civil turbofan layout	en
dc.subject.other	Aircraft engines	en
dc.subject.other	Aircraft engines	en
dc.subject.other	Algorithms	en
dc.subject.other	Estimation	en
dc.subject.other	Kalman filtering	en
dc.subject.other	Statistical methods	en
dc.subject.other	Turbofan engines	en
dc.title	Combining classification techniques with Kalman filters for aircraft engine diagnostics	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.2056507	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.2056507	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	A diagnostic method consisting of a combination of Kalman filters and Bayesian Belief Network (BBN) is presented. A soft-constrained Kalman filter uses a priori information derived by a BBN at each time step, to derive estimations of the unknown health parameters. The resulting algorithm has improved identification capability in comparison to the stand-alone Kalman filter. The paper focuses on a way of combining the information produced by the BBN with the Kalman filter. An extensive set of fault cases is used to test the method on a typical civil turbofan layout. The effectiveness of the method is thus demonstrated, and its advantages over individual constituent methods are presented. Copyright © 2006 by ASME.	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.2056507	en
dc.identifier.isi	ISI:000237043900006	en
dc.identifier.volume	128	en
dc.identifier.issue	2	en
dc.identifier.spage	281	en
dc.identifier.epage	287	en