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A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks

Autor
Delgado Prieto, M.; Cirrincione, G.; Garcia, A.; Ortega, J.A.; Henao, H.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
XX International Conference on Electrical Machines
Any de l'edició
2012
Data de presentació
2012-09-05
Llibre d'actes
2012 XXth International Conference on Electrical Machines (ICEM 2012): Marseille, France, 2-5 September 2012
DOI
https://doi.org/10.1109/ICElMach.2012.6350231 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/19280 Obrir en finestra nova
Resum
Mostly 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 machine. So far, the research has been carried out mainly in the detection of local faults, such as balls and raceways faults, but surface roughness is not so reported. This paper deals with a novel and reliable scheme capable to detect any fault that may occur in a bearing, based ...
Citació
Delgado, M. [et al.]. A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks. A: International Conference on Electrical Machines. "Electrical Machines (ICEM), 2012 XXth International Conference on". Marsella: 2012.
Grup de recerca
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants