Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data

dc.contributor.author	Palacios, Ana
dc.contributor.author	Martínez, Álvaro
dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Couso Blanco, Inés
dc.date.accessioned	2015-12-21T10:40:22Z
dc.date.available	2015-12-21T10:40:22Z
dc.date.issued	2015
dc.identifier.citation	Engineering Applications of Artificial Intelligence, 44, p. 10-24 (2015); doi:10.1016/j.engappai.2015.05.003
dc.identifier.issn	0952-1976
dc.identifier.issn	1873-6769
dc.identifier.uri	http://hdl.handle.net/10651/34390
dc.description.sponsorship	Ministerio de Economía y Competitividad from Spain/FEDER [TIN2011-24302, TIN2014-56967-R]; Regional Ministry of the Principality of Asturias [FC-15-GRUPIN14-073]
dc.format.extent	p. 10-24
dc.language.iso	eng
dc.relation.ispartof	Engineering Applications of Artificial Intelligence
dc.rights	© 2015 Elsevier Ltd.
dc.source	WOS:000360514400002
dc.title	Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data
dc.type	journal article
dc.identifier.doi	10.1016/j.engappai.2015.05.003
dc.relation.projectID	MINECO/FEDER-TIN2011-24302
dc.relation.projectID	MINECO/FEDER-TIN2014-56967-R
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.engappai.2015.05.003

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