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

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10.1109/ICElMach.2012.6350231
 
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hdl:2117/19280

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Delgado Prieto, MiquelMés informacióMés informacióMés informació
Cirrincione,, Giansalvo
García Espinosa, AntonioMés informacióMés informacióMés informació
Ortega Redondo, Juan AntonioMés informacióMés informacióMés informació
Henao, Humberto
Document typeConference report
Defense date2012
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
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 on EXIN Curvilinear Component Analysis, CCA, and Neural Network. The EXIN CCA, which is an improvement of the Curvilinear Component Analysis, has been conceived for data visualization, interpretation and classification for real time industrial applications. The effectiveness of this condition monitoring scheme has been verified by experimental results obtained from different operation conditions.
CitationDelgado, 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. 
URIhttp://hdl.handle.net/2117/19280
DOI10.1109/ICElMach.2012.6350231
ISBN978-1-4673-0143-5
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  • Departament d'Enginyeria Elèctrica - Ponències/Comunicacions de congressos [625]
  • Departament d'Enginyeria Electrònica - Ponències/Comunicacions de congressos [1.664]
  • MCIA - Motion Control and Industrial Applications Research Group - Ponències/Comunicacions de congressos [131]
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