Proper Othrogonal Decomposition of collocated signals for detection of damage in an aircraft propeller

Georgiou, I

dc.contributor.author	Georgiou, I	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/123456789/36032
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84859528170&partnerID=40&md5=411066a0bb42e3b61b72f512c0fbdc7c	en
dc.subject.other	Acceleration signals	en
dc.subject.other	Complex structure	en
dc.subject.other	Data-driven analysis	en
dc.subject.other	Propeller blades	en
dc.subject.other	Proper orthogonal decompositions	en
dc.subject.other	Reciprocity principle	en
dc.subject.other	Spatiotemporal coherence	en
dc.subject.other	Damage detection	en
dc.subject.other	Intelligent materials	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Principal component analysis	en
dc.subject.other	Propellers	en
dc.subject.other	Signal processing	en
dc.title	Proper Othrogonal Decomposition of collocated signals for detection of damage in an aircraft propeller	en
heal.type	conferenceItem	en
heal.publicationDate	2010	en
heal.abstract	The powerful data-driven analysis furnished by the Proper Orthogonal Decomposition Transform (POD) reveals that ensembles of collocated acceleration signals associated with a sequence of point impulses applied over a backbone curve of a propeller are underlined by a high degree of spatiotemporal coherence, a fact reflecting Maxwell's reciprocity principle. Thus collocated signals seem to furnish a true spatiotemporal sample of transient response to a point impulse of complex structures such as propellers. In view of this fact, three sensors are placed on an installed propeller to collect collocated signals at the blades and hub for damage detection. Preliminary results indicate that abnormality indicators present in the dominant POD mode of the ensembles of collocated signals are related directly to the presence of damage at the tip of a propeller blade. Copyright © 2010 by ASME.	en
heal.journalName	ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2010	en
dc.identifier.volume	2	en
dc.identifier.spage	711	en
dc.identifier.epage	717	en