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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
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dc.contributor | Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
dc.contributor.author | Delgado Prieto, Miquel |
dc.contributor.author | Cariño Corrales, Jesús Adolfo |
dc.contributor.author | Saucedo Dorantes, Juan Jose |
dc.contributor.author | Osornio Rios, Roque A. |
dc.contributor.author | Romeral Martínez, José Luis |
dc.contributor.author | Romero Troncoso, René |
dc.date | 2018 |
dc.identifier.citation | Delgado Prieto, M., Cariño, J. A., Saucedo, J., Osornio, R., Romeral, L., Romero, R. Novelty detection based condition monitoring scheme applied to electromechanical systems. A: IEEE International Conference on Emerging Technologies and Factory Automation. "2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA): Politecnico di Torino, Torino, Italy, 04-07 September, 2018: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1213-1216. |
dc.identifier.citation | 978-1-5386-7107-8 |
dc.identifier.citation | https://ieeexplore.ieee.org/document/8502503 |
dc.identifier.citation | 10.1109/ETFA.2018.8502503 |
dc.identifier.uri | http://hdl.handle.net/2117/126832 |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | info:eu-repo/grantAgreement/ES/1PE/TRA2016-80472-R |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Energies::Energia elèctrica::Automatització i control de l'energia elèctrica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject | Automation |
dc.subject | Electric power systems |
dc.subject | Vibration |
dc.subject | condition monitoring |
dc.subject | fault diagnosis |
dc.subject | industry applications |
dc.subject | machine learning |
dc.subject | computer aided diagnosis |
dc.subject | condition monitoring |
dc.subject | factory automation |
dc.subject | failure analysis |
dc.subject | learning algorithms |
dc.subject | learning systems |
dc.subject | machinery |
dc.subject | electromechanical systems |
dc.subject | ensemble structures |
dc.subject | fault classification |
dc.subject | fault detection and identification |
dc.subject | industrial machinery |
dc.subject | industry applications |
dc.subject | one-class support vector machine |
dc.subject | single model approach |
dc.subject | fault detection |
dc.subject | Automatització |
dc.subject | Sistemes de distribució d'energia elèctrica |
dc.subject | Vibració |
dc.title | Novelty detection based condition monitoring scheme applied to electromechanical systems |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract |