Bearing fault diagnosis by EXIN CCA

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/17068

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.contributor.author	Cirrincione,, Giansalvo
dc.contributor.author	Henao, Humberto
dc.contributor.author	Delgado Prieto, Miquel
dc.contributor.author	Ortega Redondo, Juan Antonio
dc.date	2012
dc.identifier.citation	Cirrincione, [et al.]. Bearing fault diagnosis by EXIN CCA. A: International Joint Conference on Neural Networks. "The 2012 International Joint Conference on Neural Networks (IJCNN): Brisbane, Australia (June 10-15, 2012)". Brisbane: IEEE Computer Society Publications, 2012, p. 1-7.
dc.identifier.citation	978-1-4673-1490-9
dc.identifier.citation	10.1109/IJCNN.2012.6252408
dc.identifier.uri	http://hdl.handle.net/2117/17068
dc.language.iso	eng
dc.publisher	IEEE Computer Society Publications
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06252408
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica
dc.subject	Electromechanical decives
dc.subject	Visualization
dc.subject	Anàlisi de components principals
dc.subject	Visualització
dc.subject	Dispositius electromecànics
dc.title	Bearing fault diagnosis by EXIN CCA
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	EXIN CCA is an extension of the Curvilinear Component Analysis (CCA), which solves for the noninvariant CCA projection and allows representing data drawn under different operating conditions. It can be applied to data visualization, interpretation (as a kind of sensor of the underlying physical phenomenon) and classification for real time industrial applications. Here an example is given for bearing fault diagnostics in an electromechanical device.
dc.description.abstract	Peer Reviewed

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