Exploració per autor "Cirrincione,, Giansalvo"
Ara es mostren els items 1-3 de 3
-
A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks
Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
Text en actes de congrés
Accés restringit per política de l'editorialMostly the faults in electrical machines are related with the bearings. Thus, a reliable bearing condition monitoring scheme able to detect either local or distributed defects are mandatory to avoid a breakdown in the ... -
Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks
Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
Text en actes de congrés
Accés restringit per política de l'editorialBearing faults are the commonest form of malfunction associated with electrical machines. So far, the research has been carried out mainly in the detection of localized faults, but the diagnosis of distributed faults ... -
Bearing fault diagnosis by EXIN CCA
Cirrincione,, Giansalvo; Henao, Humberto; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio (IEEE Computer Society Publications, 2012)
Text en actes de congrés
Accés obertEXIN 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 ...